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href="/enterprise/"><div class="sc-57496514-5 wfUHj"><svg viewBox="0 0 24 24" aria-label="building-07" class="sc-829600aa-0 nOmIb sc-57496514-3 fxoZI"><use href="/icon/building-07/#i"></use></svg><div><p class="sc-f231891c-0 jPSzAZ sc-57496514-1 kZTMIw">Enterprise</p><p class="sc-f231891c-0 dZmuGg sc-57496514-2 exGomx">Product Management AI tools built for scale and compliance</p></div></div></a></li></ul></div></div><div class="sc-28ef4beb-0 hfJJqA"><div role="region" aria-label="Featured content: An agent built for product teams" class="sc-d23a7368-0 bBRVDW"><span class="sc-f39bbf5a-0 dlzqnH">
766<p class="sc-f231891c-0 myhxa sc-f39bbf5a-1 ihdJeu">Whatâs new</p></span><div class="sc-d23a7368-1 fksMyT"><div class="sc-d23a7368-2 fScdR"><img alt="An image of the interface for Spark" loading="lazy" decoding="async" data-nimg="fill" class="sc-8dfbeffc-0 dWzftT" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="100vw" srcSet="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F8158ba85ba56457bb846ffb0ff85af0e&w=320&q=75 320w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F8158ba85ba56457bb846ffb0ff85af0e&w=420&q=75 420w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F8158ba85ba56457bb846ffb0ff85af0e&w=768&q=75 768w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F8158ba85ba56457bb846ffb0ff85af0e&w=1024&q=75 1024w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F8158ba85ba56457bb846ffb0ff85af0e&w=1280&q=75 1280w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F8158ba85ba56457bb846ffb0ff85af0e&w=1440&q=75 1440w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F8158ba85ba56457bb846ffb0ff85af0e&w=1920&q=75 1920w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F8158ba85ba56457bb846ffb0ff85af0e&w=2560&q=75 2560w" src="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F8158ba85ba56457bb846ffb0ff85af0e&w=2560&q=75"/></div><div class="sc-d23a7368-3 gquEhK"><p class="sc-f231891c-0 kYQUbg">An agent built for product teams</p><p class="sc-f231891c-0 dZmuGg">Itâs specialized for your product work, remembers all your context, and is built for your whole team.</p><a aria-disabled="false" tabindex="0" class="sc-5ab85e98-0 ZGXmi" href="/product/spark/"><span class="sc-f231891c-0 cqGuTN sc-5ab85e98-1 hKUBGv">Learn more</span><svg viewBox="0 0 24 24" aria-label="chevron-right" class="sc-829600aa-0 jJxlXv"><use href="/icon/chevron-right/#i"></use></svg></a></div></div></div></div></div><div class="sc-d361118-0 faNarB"><hr role="separator" class="sc-797ede05-0 fOQGyy"/></div></li><li data-testid="desktop-header-item-with-dropdown" role="none" class="sc-d361118-1 dhUYcm"><button aria-expanded="false" aria-haspopup="menu" 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aria-label="lightbulb-01" class="sc-829600aa-0 nOmIb sc-57496514-3 fxoZI"><use href="/icon/lightbulb-01/#i"></use></svg><div><p class="sc-f231891c-0 jPSzAZ sc-57496514-1 kZTMIw">Customer Feedback Analysis</p><p class="sc-f231891c-0 dZmuGg sc-57496514-2 exGomx">Centralize feedback and surface opportunities & insights with AI</p></div></div></a></li><li role="none" class="sc-57496514-0 etARdJ"><a role="menuitem" class="sc-57496514-4 ehoLnM" href="/use-cases/product-roadmapping/"><div class="sc-57496514-5 wfUHj"><svg viewBox="0 0 24 24" aria-label="roadmap" class="sc-829600aa-0 nOmIb sc-57496514-3 fxoZI"><use href="/icon/roadmap/#i"></use></svg><div><p class="sc-f231891c-0 jPSzAZ sc-57496514-1 kZTMIw">Product Roadmapping</p><p class="sc-f231891c-0 dZmuGg sc-57496514-2 exGomx">Align stakeholders on product plans with interactive roadmaps</p></div></div></a></li><li role="none" class="sc-57496514-0 etARdJ"><a role="menuitem" class="sc-57496514-4 ehoLnM" href="/use-cases/customer-engagement/"><div class="sc-57496514-5 wfUHj"><svg viewBox="0 0 24 24" aria-label="flash" class="sc-829600aa-0 nOmIb sc-57496514-3 fxoZI"><use href="/icon/flash/#i"></use></svg><div><p class="sc-f231891c-0 jPSzAZ sc-57496514-1 kZTMIw">Customer Engagement</p><p class="sc-f231891c-0 dZmuGg sc-57496514-2 exGomx">Validate ideas & planned features, and share what's been launched</p></div></div></a></li></ul></div><div role="group" id="dropdown-1-section-1" class="sc-d0ada9de-0 hiFNDR"><ul role="group" class="sc-d0ada9de-1 bqEIzk"><li role="none" class="sc-57496514-0 etARdJ"><a role="menuitem" class="sc-57496514-4 ehoLnM" href="/use-cases/product-specification/"><div class="sc-57496514-5 wfUHj"><svg viewBox="0 0 24 24" aria-label="file-02" class="sc-829600aa-0 nOmIb sc-57496514-3 fxoZI"><use href="/icon/file-02/#i"></use></svg><div><p class="sc-f231891c-0 jPSzAZ sc-57496514-1 kZTMIw">Product Specification</p><p class="sc-f231891c-0 dZmuGg sc-57496514-2 exGomx">Draft 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Cases</p><p class="sc-f231891c-0 dZmuGg sc-57496514-2 exGomx">Discover all the ways teams use Productboard</p></div></div></a></li></ul></div></div><div class="sc-28ef4beb-0 hfJJqA"><div role="region" aria-label="Featured content: AI-powered product workflows" class="sc-d23a7368-0 bBRVDW"><span class="sc-f39bbf5a-0 dlzqnH">
766<p class="sc-f231891c-0 myhxa sc-f39bbf5a-1 ihdJeu">eBook</p></span><div class="sc-d23a7368-1 fksMyT"><div class="sc-d23a7368-2 fScdR"><img alt="AI-powered product workflows" loading="lazy" decoding="async" data-nimg="fill" class="sc-8dfbeffc-0 dWzftT" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="100vw" srcSet="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F9b18f33a91fe472fb97f500f0d45baf0&w=320&q=75 320w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F9b18f33a91fe472fb97f500f0d45baf0&w=420&q=75 420w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F9b18f33a91fe472fb97f500f0d45baf0&w=768&q=75 768w, 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src="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F9b18f33a91fe472fb97f500f0d45baf0&w=2560&q=75"/></div><div class="sc-d23a7368-3 gquEhK"><p class="sc-f231891c-0 kYQUbg">AI-powered product workflows</p><p class="sc-f231891c-0 dZmuGg">How to build an agentic AI workflow for product management</p><a aria-disabled="false" tabindex="0" class="sc-5ab85e98-0 ZGXmi" href="/ebook/how-to-build-an-agentic-ai-workflow-for-product-management/"><span class="sc-f231891c-0 cqGuTN sc-5ab85e98-1 hKUBGv">Read Now</span><svg viewBox="0 0 24 24" aria-label="chevron-right" class="sc-829600aa-0 jJxlXv"><use href="/icon/chevron-right/#i"></use></svg></a></div></div></div></div></div><div class="sc-d361118-0 faNarB"><hr role="separator" class="sc-797ede05-0 fOQGyy"/></div></li><li data-testid="header-item-simple" role="none" class="sc-d361118-3 huUwAv"><a id="nav-item-2" role="menuitem" data-testid="header-item-text-link" 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sc-57496514-3 fxoZI"><use href="/icon/cube-02/#i"></use></svg><div><p class="sc-f231891c-0 jPSzAZ sc-57496514-1 kZTMIw">Integrations</p><p class="sc-f231891c-0 dZmuGg sc-57496514-2 exGomx">Connect Productboard to 25+ native integrations</p></div></div></a></li></ul></div><div role="group" id="dropdown-0-section-1" class="sc-d0ada9de-0 hiFNDR"><ul role="group" class="sc-d0ada9de-1 bqEIzk"><li role="none" class="sc-57496514-0 etARdJ"><a role="menuitem" class="sc-57496514-4 ehoLnM" href="/platform/security/"><div class="sc-57496514-5 wfUHj"><svg viewBox="0 0 24 24" aria-label="shield-tick" class="sc-829600aa-0 nOmIb sc-57496514-3 fxoZI"><use href="/icon/shield-tick/#i"></use></svg><div><p class="sc-f231891c-0 jPSzAZ sc-57496514-1 kZTMIw">Security</p><p class="sc-f231891c-0 dZmuGg sc-57496514-2 exGomx">Keep your data secure and compliant, SOC2-verified</p></div></div></a></li><li role="none" class="sc-57496514-0 etARdJ"><a role="menuitem" class="sc-57496514-4 ehoLnM" href="/enterprise/"><div class="sc-57496514-5 wfUHj"><svg viewBox="0 0 24 24" aria-label="building-07" class="sc-829600aa-0 nOmIb sc-57496514-3 fxoZI"><use href="/icon/building-07/#i"></use></svg><div><p class="sc-f231891c-0 jPSzAZ sc-57496514-1 kZTMIw">Enterprise</p><p class="sc-f231891c-0 dZmuGg sc-57496514-2 exGomx">Product Management AI tools built for scale and compliance</p></div></div></a></li></ul></div></div><div class="sc-28ef4beb-0 hfJJqA"><div role="region" aria-label="Featured content: An agent built for product teams" class="sc-d23a7368-0 bBRVDW"><span class="sc-f39bbf5a-0 dlzqnH">
766<p class="sc-f231891c-0 myhxa sc-f39bbf5a-1 ihdJeu">Whatâs new</p></span><div class="sc-d23a7368-1 fksMyT"><div class="sc-d23a7368-2 fScdR"><img alt="An image of the interface for Spark" loading="lazy" decoding="async" data-nimg="fill" class="sc-8dfbeffc-0 dWzftT" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="100vw" srcSet="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F8158ba85ba56457bb846ffb0ff85af0e&w=320&q=75 320w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F8158ba85ba56457bb846ffb0ff85af0e&w=420&q=75 420w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F8158ba85ba56457bb846ffb0ff85af0e&w=768&q=75 768w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F8158ba85ba56457bb846ffb0ff85af0e&w=1024&q=75 1024w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F8158ba85ba56457bb846ffb0ff85af0e&w=1280&q=75 1280w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F8158ba85ba56457bb846ffb0ff85af0e&w=1440&q=75 1440w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F8158ba85ba56457bb846ffb0ff85af0e&w=1920&q=75 1920w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F8158ba85ba56457bb846ffb0ff85af0e&w=2560&q=75 2560w" src="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F8158ba85ba56457bb846ffb0ff85af0e&w=2560&q=75"/></div><div class="sc-d23a7368-3 gquEhK"><p class="sc-f231891c-0 kYQUbg">An agent built for product teams</p><p class="sc-f231891c-0 dZmuGg">Itâs specialized for your product work, remembers all your context, and is built for your whole team.</p><a aria-disabled="false" tabindex="0" class="sc-5ab85e98-0 ZGXmi" href="/product/spark/"><span class="sc-f231891c-0 cqGuTN sc-5ab85e98-1 hKUBGv">Learn more</span><svg viewBox="0 0 24 24" aria-label="chevron-right" class="sc-829600aa-0 jJxlXv"><use href="/icon/chevron-right/#i"></use></svg></a></div></div></div></div></div><div class="sc-d361118-0 faNarB"><hr role="separator" class="sc-797ede05-0 fOQGyy"/></div></li><li data-testid="desktop-header-item-with-dropdown" role="none" class="sc-d361118-1 dhUYcm"><button aria-expanded="false" aria-haspopup="menu" aria-controls="dropdown-1" id="nav-item-1" role="menuitem" type="button" data-testid="header-item-text-button" class="sc-8c266629-2 fzYxxc"><p class="sc-f231891c-0 jPSzAZ sc-8c266629-0 jhXFoq">Use Cases</p><svg viewBox="0 0 24 24" aria-label="chevron-down" class="sc-829600aa-0 eFKRRt sc-8c266629-1 hhmXuw"><use href="/icon/chevron-down/#i"></use></svg></button><div data-testid="dropdown-menu" role="menu" aria-labelledby="nav-item-1" aria-hidden="true" inert="" class="sc-5668cfb6-0 gUyPyC sc-d361118-4 dtLBWR" id="dropdown-1" aria-orientation="vertical"><div data-testid="dropdown-menu-columns" role="group" aria-label="Navigation menu sections" class="sc-5668cfb6-2 eWtRXk"><div role="group" id="dropdown-1-section-0" class="sc-d0ada9de-0 hiFNDR"><ul role="group" class="sc-d0ada9de-1 bqEIzk"><li role="none" class="sc-57496514-0 etARdJ"><a role="menuitem" class="sc-57496514-4 ehoLnM" href="/use-cases/customer-insights/"><div class="sc-57496514-5 wfUHj"><svg viewBox="0 0 24 24" aria-label="lightbulb-01" class="sc-829600aa-0 nOmIb sc-57496514-3 fxoZI"><use href="/icon/lightbulb-01/#i"></use></svg><div><p class="sc-f231891c-0 jPSzAZ sc-57496514-1 kZTMIw">Customer Feedback Analysis</p><p class="sc-f231891c-0 dZmuGg sc-57496514-2 exGomx">Centralize feedback and surface opportunities & insights with AI</p></div></div></a></li><li role="none" class="sc-57496514-0 etARdJ"><a role="menuitem" class="sc-57496514-4 ehoLnM" href="/use-cases/product-roadmapping/"><div class="sc-57496514-5 wfUHj"><svg viewBox="0 0 24 24" aria-label="roadmap" class="sc-829600aa-0 nOmIb sc-57496514-3 fxoZI"><use href="/icon/roadmap/#i"></use></svg><div><p class="sc-f231891c-0 jPSzAZ sc-57496514-1 kZTMIw">Product Roadmapping</p><p class="sc-f231891c-0 dZmuGg sc-57496514-2 exGomx">Align stakeholders on product plans with interactive roadmaps</p></div></div></a></li><li role="none" class="sc-57496514-0 etARdJ"><a role="menuitem" class="sc-57496514-4 ehoLnM" href="/use-cases/customer-engagement/"><div class="sc-57496514-5 wfUHj"><svg viewBox="0 0 24 24" aria-label="flash" class="sc-829600aa-0 nOmIb sc-57496514-3 fxoZI"><use href="/icon/flash/#i"></use></svg><div><p class="sc-f231891c-0 jPSzAZ sc-57496514-1 kZTMIw">Customer Engagement</p><p class="sc-f231891c-0 dZmuGg sc-57496514-2 exGomx">Validate ideas & planned features, and share what's been launched</p></div></div></a></li></ul></div><div role="group" id="dropdown-1-section-1" class="sc-d0ada9de-0 hiFNDR"><ul role="group" class="sc-d0ada9de-1 bqEIzk"><li role="none" class="sc-57496514-0 etARdJ"><a role="menuitem" class="sc-57496514-4 ehoLnM" href="/use-cases/product-specification/"><div class="sc-57496514-5 wfUHj"><svg viewBox="0 0 24 24" aria-label="file-02" class="sc-829600aa-0 nOmIb sc-57496514-3 fxoZI"><use href="/icon/file-02/#i"></use></svg><div><p class="sc-f231891c-0 jPSzAZ sc-57496514-1 kZTMIw">Product Specification</p><p class="sc-f231891c-0 dZmuGg sc-57496514-2 exGomx">Draft product specs with AI that knows your product & customers</p></div></div></a></li><li role="none" class="sc-57496514-0 etARdJ"><a role="menuitem" class="sc-57496514-4 ehoLnM" href="/use-cases/product-strategy/"><div class="sc-57496514-5 wfUHj"><svg viewBox="0 0 24 24" aria-label="horizontal-bar-chart-02" class="sc-829600aa-0 nOmIb sc-57496514-3 fxoZI"><use href="/icon/horizontal-bar-chart-02/#i"></use></svg><div><p class="sc-f231891c-0 jPSzAZ sc-57496514-1 kZTMIw">Strategic Product Planning</p><p class="sc-f231891c-0 dZmuGg sc-57496514-2 exGomx">Ensure every team's product priorities support your objectives</p></div></div></a></li><li role="none" class="sc-57496514-0 etARdJ"><a role="menuitem" class="sc-57496514-4 ehoLnM" href="/use-cases/"><div class="sc-57496514-5 wfUHj"><svg viewBox="0 0 24 24" aria-label="telescope" class="sc-829600aa-0 nOmIb sc-57496514-3 fxoZI"><use href="/icon/telescope/#i"></use></svg><div><p class="sc-f231891c-0 jPSzAZ sc-57496514-1 kZTMIw">Explore All Use Cases</p><p class="sc-f231891c-0 dZmuGg sc-57496514-2 exGomx">Discover all the ways teams use Productboard</p></div></div></a></li></ul></div></div><div class="sc-28ef4beb-0 hfJJqA"><div role="region" aria-label="Featured content: AI-powered product workflows" class="sc-d23a7368-0 bBRVDW"><span class="sc-f39bbf5a-0 dlzqnH">
766<p class="sc-f231891c-0 myhxa sc-f39bbf5a-1 ihdJeu">eBook</p></span><div class="sc-d23a7368-1 fksMyT"><div class="sc-d23a7368-2 fScdR"><img alt="AI-powered product workflows" loading="lazy" decoding="async" data-nimg="fill" class="sc-8dfbeffc-0 dWzftT" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" sizes="100vw" srcSet="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F9b18f33a91fe472fb97f500f0d45baf0&w=320&q=75 320w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F9b18f33a91fe472fb97f500f0d45baf0&w=420&q=75 420w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F9b18f33a91fe472fb97f500f0d45baf0&w=768&q=75 768w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F9b18f33a91fe472fb97f500f0d45baf0&w=1024&q=75 1024w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F9b18f33a91fe472fb97f500f0d45baf0&w=1280&q=75 1280w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F9b18f33a91fe472fb97f500f0d45baf0&w=1440&q=75 1440w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F9b18f33a91fe472fb97f500f0d45baf0&w=1920&q=75 1920w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F9b18f33a91fe472fb97f500f0d45baf0&w=2560&q=75 2560w" src="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F9b18f33a91fe472fb97f500f0d45baf0&w=2560&q=75"/></div><div class="sc-d23a7368-3 gquEhK"><p class="sc-f231891c-0 kYQUbg">AI-powered product workflows</p><p class="sc-f231891c-0 dZmuGg">How to build an agentic AI workflow for product management</p><a aria-disabled="false" tabindex="0" class="sc-5ab85e98-0 ZGXmi" href="/ebook/how-to-build-an-agentic-ai-workflow-for-product-management/"><span class="sc-f231891c-0 cqGuTN sc-5ab85e98-1 hKUBGv">Read Now</span><svg viewBox="0 0 24 24" aria-label="chevron-right" class="sc-829600aa-0 jJxlXv"><use href="/icon/chevron-right/#i"></use></svg></a></div></div></div></div></div><div class="sc-d361118-0 faNarB"><hr role="separator" class="sc-797ede05-0 fOQGyy"/></div></li><li data-testid="header-item-simple" role="none" class="sc-d361118-3 huUwAv"><a id="nav-item-2" role="menuitem" data-testid="header-item-text-link" 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builder-85d9ebcb18684b7781a2505c5bc9cfcd builder-has-component css-xsn8zw" builder-id="builder-85d9ebcb18684b7781a2505c5bc9cfcd" data-video-embed="true"><div class="sc-2405826d-3 dUFbNC"><div class="sc-2405826d-4 ciUmDB"><div class="sc-2405826d-0 cotfZV"><img alt="Introducing Productboard Spark" loading="lazy" width="650" height="650" decoding="async" data-nimg="1" class="sc-8dfbeffc-0 sc-2405826d-1 dWzftT cayjHZ" style="color:transparent" srcSet="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F900e13673f324b7e888c623d86d46490&w=768&q=75 1x, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F900e13673f324b7e888c623d86d46490&w=1440&q=75 2x" src="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F900e13673f324b7e888c623d86d46490&w=1440&q=75"/></div></div><div class="sc-2405826d-5 gLjGZZ"><div data-testid="wistia-video-wrapper" data-video-type="wistia" class="sc-702c84d-0 eFzjfw"><div class="sc-702c84d-1 fndPji"><div class="sc-702c84d-2 icwgVj wistia_embed wistia_async_schrq77zor videoFoam=true"></div></div></div></div></div></div></div></div></div><div class="builder-block builder-2d8b0af3263e4057b270092788483d4f builder-has-component css-xsn8zw" builder-id="builder-2d8b0af3263e4057b270092788483d4f"><div class="builder-custom-code"><div class="bg-gradient-1"></div> 871<div class="bg-gradient-2"></div> 872</div></div></div></div></div><div class="builder-block builder-fbebc11cec68451f8a4f9b822a23c7ea builder-has-component css-xsn8zw" builder-id="builder-fbebc11cec68451f8a4f9b822a23c7ea"><section id="builder-fbebc11cec68451f8a4f9b822a23c7ea" class="sc-959f3619-2 dTvbZE sc-62b41958-0 JKtGY"><div class="sc-62b41958-1 dcvOFa"><div aria-hidden="true" class="sc-62b41958-2 ezMRPG" style="opacity:1"></div><div aria-hidden="true" class="sc-62b41958-2 bsWTWS" style="opacity:0"></div><div aria-hidden="true" class="sc-62b41958-2 cARvla" style="opacity:0"></div><div aria-hidden="true" class="sc-62b41958-2 kPCBRi" style="opacity:0"></div><div aria-hidden="true" class="sc-62b41958-2 iuxUSi" style="opacity:0"></div></div><div class="sc-62b41958-4 bbma-DL"><div class="builder-blocks builder-blocks-child css-h47494" builder-type="blocks" builder-parent-id="builder-fbebc11cec68451f8a4f9b822a23c7ea"><section class="sc-959f3619-2 dEEzGA sc-bf52b220-0 gHWGSY callout builder-block builder-e82e179952644c1491285f897613d4af builder-has-component css-xsn8zw" data-testid="callout-wrapper" builder-id="builder-e82e179952644c1491285f897613d4af"><div class="sc-bf52b220-1 cOfXcj"><div class="sc-bf52b220-2 iUyoyq"><h2 class="sc-d626836c-0 eTTHKQ">Insights you couldn't get before.â¨Work that used to take weeks.</h2></div><p class="sc-f231891c-0 hChrco">Sparkâs specialized agentic workflows get you to clarity on the right solutions to build, in a fraction of the time.</p></div><div class="builder-blocks no-blocks sc-a0182020-0 bXMtDy css-h47494" builder-type="blocks" builder-parent-id="builder-e82e179952644c1491285f897613d4af"></div></section></div></div><div role="navigation" aria-label="Section navigation" class="sc-62b41958-5 dfnjbX" style="opacity:0;transform:translateY(-16px)"><button aria-current="true" class="sc-b774de05-0 ffgHpD"><span class="sc-f231891c-0 jGEWQl sc-b774de05-2 bmywHF">Opportunity discovery</span></button><button class="sc-b774de05-0 jvjKYd"><span class="sc-f231891c-0 jGEWQl sc-b774de05-2 bmywHF">Feedback analysis</span></button><button class="sc-b774de05-0 jvjKYd"><span class="sc-f231891c-0 jGEWQl sc-b774de05-2 bmywHF">Product specification</span></button><button class="sc-b774de05-0 jvjKYd"><span class="sc-f231891c-0 jGEWQl sc-b774de05-2 bmywHF">Post-launch evaluation</span></button><button class="sc-b774de05-0 jvjKYd"><span class="sc-f231891c-0 jGEWQl sc-b774de05-2 bmywHF">Release notes</span></button></div><div class="sc-62b41958-3 gafDLj"><section data-index="0" aria-label="Opportunity discovery" class="sc-62b41958-6 isGVEO"><div class="builder-block builder-f2e3916addaf482189d70fb65378b17d builder-has-component css-xsn8zw" builder-id="builder-f2e3916addaf482189d70fb65378b17d"><div class="builder-blocks css-h47494" builder-type="blocks" builder-parent-id="builder-f2e3916addaf482189d70fb65378b17d"><style data-emotion-css="16otiaa">.css-16otiaa.builder-block{margin-left:var(--spacing-none,0rem);margin-right:var(--spacing-none,0rem);padding-left:var(--spacing-none,0rem);padding-right:var(--spacing-none,0rem);}</style><section id="surface-opportunities" class="sc-959f3619-2 gVFUjy sc-50f3f27-1 eaMet builder-block builder-67c2783044a24914a4c3dd67940330e3 builder-has-component css-16otiaa" builder-id="builder-67c2783044a24914a4c3dd67940330e3"><div class="sc-50f3f27-2 grgSlq"><div class="sc-50f3f27-4 jsoycV">
872<div class="builder-blocks builder-blocks-child sc-f59ecc33-0 heJMPK css-h47494" builder-type="blocks" builder-parent-id="builder-67c2783044a24914a4c3dd67940330e3"><div class="builder-block builder-44ea39ad60ce4fc68309f91b7a7589e5 builder-has-component css-xsn8zw" builder-id="builder-44ea39ad60ce4fc68309f91b7a7589e5"><img alt="Surface new product opportunities" fetchPriority="auto" loading="lazy" width="1326" height="1108" decoding="async" data-nimg="1" class="sc-8dfbeffc-0 dWzftT builder-image" style="color:transparent" sizes="(min-width: 1024px) 50vw, 100vw" srcSet="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F226a5d05b7294da4901868ec1869b62c&w=256&q=75 256w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F226a5d05b7294da4901868ec1869b62c&w=320&q=75 320w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F226a5d05b7294da4901868ec1869b62c&w=384&q=75 384w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F226a5d05b7294da4901868ec1869b62c&w=420&q=75 420w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F226a5d05b7294da4901868ec1869b62c&w=768&q=75 768w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F226a5d05b7294da4901868ec1869b62c&w=1024&q=75 1024w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F226a5d05b7294da4901868ec1869b62c&w=1280&q=75 1280w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F226a5d05b7294da4901868ec1869b62c&w=1440&q=75 1440w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F226a5d05b7294da4901868ec1869b62c&w=1920&q=75 1920w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F226a5d05b7294da4901868ec1869b62c&w=2560&q=75 2560w" src="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F226a5d05b7294da4901868ec1869b62c&w=2560&q=75"/></div></div></div><div class="sc-50f3f27-5 lmhdfA"><div class="builder-block builder-b8cf8840e0254b63a1547ed00ddcf15e builder-has-component css-xsn8zw" builder-id="builder-b8cf8840e0254b63a1547ed00ddcf15e"><div class="sc-d10b6be9-0 eFtoNm"><h2 class="sc-d10b6be9-2 lgGpxB"><svg viewBox="0 0 24 24" aria-label="star-04" class="sc-829600aa-0 cCPQgY"><use href="/icon/star-04/#i"></use></svg><span class="sc-f231891c-0 dxrpTV">AI-powered product discovery</span></h2><h3 class="sc-d626836c-0 kXdITz">Surface promising new product opportunities</h3></div></div><div class="builder-block builder-39d4ef63d5304bd7b1fd2434f6ec35b6 builder-has-component css-xsn8zw" builder-id="builder-39d4ef63d5304bd7b1fd2434f6ec35b6"><div class="sc-4cebc972-0 EHhun builder-text"><p class="sc-f231891c-0 kCFnxQ">Review newly surfaced opportunities when you arrive back in Productboard, refreshed every week. Use Spark to explore the signals and initiate next steps.</p></div></div><div class="builder-block builder-9450a5696c6441f68644707ef76d8bf6 builder-has-component css-xsn8zw" builder-id="builder-9450a5696c6441f68644707ef76d8bf6"><div class="sc-20e9e0fd-0 jlhJDx"><svg viewBox="0 0 24 24" aria-label="stars-01" class="sc-829600aa-0 fXdLFc"><use href="/icon/stars-01/#i"></use></svg><p class="sc-f231891c-0 gOnXOk">Market signals enriched by strategic context</p></div></div><div class="builder-block builder-294da8b6856a41b8bf0d8d8e1c8bdd33 builder-has-component css-xsn8zw" builder-id="builder-294da8b6856a41b8bf0d8d8e1c8bdd33"><div class="sc-20e9e0fd-0 jlhJDx"><svg viewBox="0 0 24 24" aria-label="user-left-01" class="sc-829600aa-0 fXdLFc"><use href="/icon/user-left-01/#i"></use></svg><p class="sc-f231891c-0 gOnXOk">Customer feedback enriched by segment sizing</p></div></div><div class="builder-block builder-0ebcfb02c89740c5ab42b9a352de2f2d builder-has-component css-xsn8zw" builder-id="builder-0ebcfb02c89740c5ab42b9a352de2f2d"><div class="sc-20e9e0fd-0 jlhJDx"><svg viewBox="0 0 24 24" aria-label="file-05" class="sc-829600aa-0 fXdLFc"><use href="/icon/file-05/#i"></use></svg><p class="sc-f231891c-0 gOnXOk">Competitive intel enriched by roadmap analysis</p></div></div></div></div></section></div></div></section><section data-index="1" aria-label="Feedback analysis" class="sc-62b41958-6 isGVEO"><div class="builder-block builder-d15bc897cf2b40db890fd5b6ea1949ab builder-has-component css-xsn8zw" builder-id="builder-d15bc897cf2b40db890fd5b6ea1949ab"><div class="builder-blocks css-h47494" builder-type="blocks" builder-parent-id="builder-d15bc897cf2b40db890fd5b6ea1949ab"><section class="sc-959f3619-2 gVFUjy sc-50f3f27-1 eaMet builder-block builder-7fc248cfbb694f4da06c87b656db34d7 builder-has-component css-16otiaa" builder-id="builder-7fc248cfbb694f4da06c87b656db34d7"><div class="sc-50f3f27-2 grgSlq"><div class="sc-50f3f27-4 fJvNwc">
872<div class="builder-blocks builder-blocks-child sc-f59ecc33-0 heJMPK css-h47494" builder-type="blocks" builder-parent-id="builder-7fc248cfbb694f4da06c87b656db34d7"><div class="builder-block builder-65b5d138f4e642bba0435002cb6488c1 builder-has-component css-xsn8zw" builder-id="builder-65b5d138f4e642bba0435002cb6488c1"><img alt="Understand customer needs" fetchPriority="auto" loading="lazy" width="1236" height="1108" decoding="async" data-nimg="1" class="sc-8dfbeffc-0 dWzftT builder-image" style="color:transparent" sizes="(min-width: 1024px) 50vw, 100vw" srcSet="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fa9ad676e468e4b7286aa591979016dc3&w=256&q=75 256w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fa9ad676e468e4b7286aa591979016dc3&w=320&q=75 320w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fa9ad676e468e4b7286aa591979016dc3&w=384&q=75 384w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fa9ad676e468e4b7286aa591979016dc3&w=420&q=75 420w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fa9ad676e468e4b7286aa591979016dc3&w=768&q=75 768w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fa9ad676e468e4b7286aa591979016dc3&w=1024&q=75 1024w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fa9ad676e468e4b7286aa591979016dc3&w=1280&q=75 1280w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fa9ad676e468e4b7286aa591979016dc3&w=1440&q=75 1440w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fa9ad676e468e4b7286aa591979016dc3&w=1920&q=75 1920w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fa9ad676e468e4b7286aa591979016dc3&w=2560&q=75 2560w" src="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fa9ad676e468e4b7286aa591979016dc3&w=2560&q=75"/></div></div></div><div class="sc-50f3f27-5 dhZuUy"><div class="builder-block builder-09fdf91716ff473fb3d373c5994a5fa4 builder-has-component css-xsn8zw" builder-id="builder-09fdf91716ff473fb3d373c5994a5fa4"><div class="sc-d10b6be9-0 eFtoNm"><h2 class="sc-d10b6be9-2 lgGpxB"><svg viewBox="0 0 24 24" aria-label="star-04" class="sc-829600aa-0 cCPQgY"><use href="/icon/star-04/#i"></use></svg><span class="sc-f231891c-0 dxrpTV">AI customer feedback analysis</span></h2><h3 class="sc-d626836c-0 kXdITz">Understand what customers really need</h3></div></div><div class="builder-block builder-9e9f6dc6b5054c7a8b1e1008c0a67287 builder-has-component css-xsn8zw" builder-id="builder-9e9f6dc6b5054c7a8b1e1008c0a67287"><div class="sc-4cebc972-0 EHhun builder-text"><p class="sc-f231891c-0 kCFnxQ">Productboard performs statistically accurate analysis of your organizationâs entire body of feedback â citations included.</p></div></div><div class="builder-block builder-edc1d666572b412ea2a0d715370d79a3 builder-has-component css-xsn8zw" builder-id="builder-edc1d666572b412ea2a0d715370d79a3"><div class="sc-20e9e0fd-0 jlhJDx"><svg viewBox="0 0 24 24" aria-label="zoom-in" class="sc-829600aa-0 fXdLFc"><use href="/icon/zoom-in/#i"></use></svg><p class="sc-f231891c-0 gOnXOk">Monitor trending feedback findings</p></div></div><div class="builder-block builder-bc12136ed04e4a699c90f96d4565e92d builder-has-component css-xsn8zw" builder-id="builder-bc12136ed04e4a699c90f96d4565e92d"><div class="sc-20e9e0fd-0 jlhJDx"><svg viewBox="0 0 24 24" aria-label="target-01" class="sc-829600aa-0 fXdLFc"><use href="/icon/target-01/#i"></use></svg><p class="sc-f231891c-0 gOnXOk">Dive deeper into a customer need</p></div></div><div class="builder-block builder-4d21064defad4104b3646627badc163e builder-has-component css-xsn8zw" builder-id="builder-4d21064defad4104b3646627badc163e"><div class="sc-20e9e0fd-0 jlhJDx"><svg viewBox="0 0 24 24" aria-label="file-05" class="sc-829600aa-0 fXdLFc"><use href="/icon/file-05/#i"></use></svg><p class="sc-f231891c-0 gOnXOk">Generate voice-of-customer reports</p></div></div></div></div></section></div></div></section><section data-index="2" aria-label="Product specification" class="sc-62b41958-6 isGVEO"><div class="builder-block builder-321e0fc519ed4f16a4b21ebbfc4a7142 builder-has-component css-xsn8zw" builder-id="builder-321e0fc519ed4f16a4b21ebbfc4a7142"><div class="builder-blocks css-h47494" builder-type="blocks" builder-parent-id="builder-321e0fc519ed4f16a4b21ebbfc4a7142"><section id="specs" class="sc-959f3619-2 gVFUjy sc-50f3f27-1 eaMet builder-block builder-9fa3efc2e6ef426285fb84b16a260aab builder-has-component css-16otiaa" builder-id="builder-9fa3efc2e6ef426285fb84b16a260aab"><div class="sc-50f3f27-2 grgSlq"><div class="sc-50f3f27-4 jsoycV">
872<div class="builder-blocks builder-blocks-child sc-f59ecc33-0 heJMPK css-h47494" builder-type="blocks" builder-parent-id="builder-9fa3efc2e6ef426285fb84b16a260aab"><div class="builder-block builder-3c0990e361b9425ba5280ccdd971833c builder-has-component css-xsn8zw" builder-id="builder-3c0990e361b9425ba5280ccdd971833c"><img alt="Create delivery-ready product specifications" fetchPriority="auto" loading="lazy" width="1236" height="1108" decoding="async" data-nimg="1" class="sc-8dfbeffc-0 dWzftT builder-image" style="color:transparent" sizes="(min-width: 1024px) 50vw, 100vw" srcSet="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fce0533051cc24d1f81cc6afc2eabdcd4&w=256&q=75 256w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fce0533051cc24d1f81cc6afc2eabdcd4&w=320&q=75 320w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fce0533051cc24d1f81cc6afc2eabdcd4&w=384&q=75 384w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fce0533051cc24d1f81cc6afc2eabdcd4&w=420&q=75 420w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fce0533051cc24d1f81cc6afc2eabdcd4&w=768&q=75 768w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fce0533051cc24d1f81cc6afc2eabdcd4&w=1024&q=75 1024w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fce0533051cc24d1f81cc6afc2eabdcd4&w=1280&q=75 1280w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fce0533051cc24d1f81cc6afc2eabdcd4&w=1440&q=75 1440w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fce0533051cc24d1f81cc6afc2eabdcd4&w=1920&q=75 1920w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fce0533051cc24d1f81cc6afc2eabdcd4&w=2560&q=75 2560w" src="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fce0533051cc24d1f81cc6afc2eabdcd4&w=2560&q=75"/></div></div></div><div class="sc-50f3f27-5 lmhdfA"><div class="builder-block builder-cade7ffbf9a34b0fb9c373fa6ac2ac6c builder-has-component css-xsn8zw" builder-id="builder-cade7ffbf9a34b0fb9c373fa6ac2ac6c"><div class="sc-d10b6be9-0 eFtoNm"><h2 class="sc-d10b6be9-2 lgGpxB"><svg viewBox="0 0 24 24" aria-label="star-04" class="sc-829600aa-0 cCPQgY"><use href="/icon/star-04/#i"></use></svg><span class="sc-f231891c-0 dxrpTV">AI product specification</span></h2><h3 class="sc-d626836c-0 kXdITz">Create delivery-ready product specifications</h3></div></div><div class="builder-block builder-c0e078b5dae04d68a8c94038cafbcfbd builder-has-component css-xsn8zw" builder-id="builder-c0e078b5dae04d68a8c94038cafbcfbd"><div class="sc-4cebc972-0 EHhun builder-text"><p class="sc-f231891c-0 kCFnxQ">As delivery accelerates, stay ahead of the curve with an agent that employs deep understanding of your product to craft delivery-ready specs in less time.</p></div></div><div class="builder-block builder-c0963313834445319c63979d2b89296d builder-has-component css-xsn8zw" builder-id="builder-c0963313834445319c63979d2b89296d"><div class="sc-20e9e0fd-0 jlhJDx"><svg viewBox="0 0 24 24" aria-label="list" class="sc-829600aa-0 fXdLFc"><use href="/icon/list/#i"></use></svg><p class="sc-f231891c-0 gOnXOk">Synthesize large amounts of context in minutes</p></div></div><div class="builder-block builder-8cf466562f374d4dae6fc704cd1485a8 builder-has-component css-xsn8zw" builder-id="builder-8cf466562f374d4dae6fc704cd1485a8"><div class="sc-20e9e0fd-0 jlhJDx"><svg viewBox="0 0 24 24" aria-label="code-square-01" class="sc-829600aa-0 fXdLFc"><use href="/icon/code-square-01/#i"></use></svg><p class="sc-f231891c-0 gOnXOk">Surface technical requirements with codebase analysis</p></div></div><div class="builder-block builder-868070d473b042569c9e6c633d89ce7c builder-has-component css-xsn8zw" builder-id="builder-868070d473b042569c9e6c633d89ce7c"><div class="sc-20e9e0fd-0 jlhJDx"><svg viewBox="0 0 24 24" aria-label="intersect-circle" class="sc-829600aa-0 fXdLFc"><use href="/icon/intersect-circle/#i"></use></svg><p class="sc-f231891c-0 gOnXOk">Pull specs into Claude Code, Codex, or Cursor via MCP</p></div></div></div></div></section></div></div></section><section data-index="3" aria-label="Post-launch evaluation" class="sc-62b41958-6 isGVEO"><div class="builder-block builder-f1c7f19c403f4c229586716e8a2f667b builder-has-component css-xsn8zw" builder-id="builder-f1c7f19c403f4c229586716e8a2f667b"><div class="builder-blocks css-h47494" builder-type="blocks" builder-parent-id="builder-f1c7f19c403f4c229586716e8a2f667b"><section id="measure-impact" class="sc-959f3619-2 gVFUjy sc-50f3f27-1 eaMet builder-block builder-b5c98b13168c4e54b97350e9b959ef2c builder-has-component css-16otiaa" builder-id="builder-b5c98b13168c4e54b97350e9b959ef2c"><div class="sc-50f3f27-2 grgSlq"><div class="sc-50f3f27-4 fJvNwc">
872<div class="builder-blocks builder-blocks-child sc-f59ecc33-0 heJMPK css-h47494" builder-type="blocks" builder-parent-id="builder-b5c98b13168c4e54b97350e9b959ef2c"><div class="builder-block builder-d5ba9f5be4fc40a390edeb1dbf7be56e builder-has-component css-xsn8zw" builder-id="builder-d5ba9f5be4fc40a390edeb1dbf7be56e"><img alt="Measure post-launch outcomes" fetchPriority="auto" loading="lazy" width="1236" height="1108" decoding="async" data-nimg="1" class="sc-8dfbeffc-0 dWzftT builder-image" style="color:transparent" sizes="(min-width: 1024px) 50vw, 100vw" srcSet="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F424a5f9d13f64c7f9248395345da9779&w=256&q=75 256w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F424a5f9d13f64c7f9248395345da9779&w=320&q=75 320w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F424a5f9d13f64c7f9248395345da9779&w=384&q=75 384w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F424a5f9d13f64c7f9248395345da9779&w=420&q=75 420w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F424a5f9d13f64c7f9248395345da9779&w=768&q=75 768w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F424a5f9d13f64c7f9248395345da9779&w=1024&q=75 1024w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F424a5f9d13f64c7f9248395345da9779&w=1280&q=75 1280w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F424a5f9d13f64c7f9248395345da9779&w=1440&q=75 1440w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F424a5f9d13f64c7f9248395345da9779&w=1920&q=75 1920w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F424a5f9d13f64c7f9248395345da9779&w=2560&q=75 2560w" src="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F424a5f9d13f64c7f9248395345da9779&w=2560&q=75"/></div></div></div><div class="sc-50f3f27-5 dhZuUy"><div class="builder-block builder-8d01da26573247cd8e5b3968e64e53c2 builder-has-component css-xsn8zw" builder-id="builder-8d01da26573247cd8e5b3968e64e53c2"><div class="sc-d10b6be9-0 eFtoNm"><h2 class="sc-d10b6be9-2 lgGpxB"><svg viewBox="0 0 24 24" aria-label="star-04" class="sc-829600aa-0 cCPQgY"><use href="/icon/star-04/#i"></use></svg><span class="sc-f231891c-0 dxrpTV">AI product launch analytics</span></h2><h3 class="sc-d626836c-0 kXdITz">Measure post-launch outcomes</h3></div></div><div class="builder-block builder-1df6f2d133d54f3eaf1e91e35e8bf9e7 builder-has-component css-xsn8zw" builder-id="builder-1df6f2d133d54f3eaf1e91e35e8bf9e7"><div class="sc-4cebc972-0 EHhun builder-text"><p class="sc-f231891c-0 kCFnxQ">Spark connects to your data sources to evaluate product analytics and recent customer feedback in relation to the original objectives & success metrics in the specification.</p></div></div><div class="builder-block builder-05fe49d3602c4322805c031dab12d0c0 builder-has-component css-xsn8zw" builder-id="builder-05fe49d3602c4322805c031dab12d0c0"><div class="sc-20e9e0fd-0 jlhJDx"><svg viewBox="0 0 24 24" aria-label="lightbulb-02" class="sc-829600aa-0 fXdLFc"><use href="/icon/lightbulb-02/#i"></use></svg><p class="sc-f231891c-0 gOnXOk">Tap into quantitative product usage data</p></div></div><div class="builder-block builder-1bcbb4cdc151488bac4b4a19e3595e86 builder-has-component css-xsn8zw" builder-id="builder-1bcbb4cdc151488bac4b4a19e3595e86"><div class="sc-20e9e0fd-0 jlhJDx"><svg viewBox="0 0 24 24" aria-label="users-check" class="sc-829600aa-0 fXdLFc"><use href="/icon/users-check/#i"></use></svg><p class="sc-f231891c-0 gOnXOk">Incorporate post-launch customer feedback</p></div></div><div class="builder-block builder-5465a5086ab64518881242097dfed948 builder-has-component css-xsn8zw" builder-id="builder-5465a5086ab64518881242097dfed948"><div class="sc-20e9e0fd-0 jlhJDx"><svg viewBox="0 0 24 24" aria-label="compass-03" class="sc-829600aa-0 fXdLFc"><use href="/icon/compass-03/#i"></use></svg><p class="sc-f231891c-0 gOnXOk">Plan fast-follows and future investments</p></div></div></div></div></section></div></div></section><section data-index="4" aria-label="Release notes" class="sc-62b41958-6 isGVEO"><div class="builder-block builder-2727a47b972845cd93a1030c1c1d4359 builder-has-component css-xsn8zw" builder-id="builder-2727a47b972845cd93a1030c1c1d4359"><div class="builder-blocks css-h47494" builder-type="blocks" builder-parent-id="builder-2727a47b972845cd93a1030c1c1d4359"><section class="sc-959f3619-2 gVFUjy sc-50f3f27-1 eaMet builder-block builder-7cfd65f6473a4ae1a69d543e94b5f227 builder-has-component css-16otiaa" builder-id="builder-7cfd65f6473a4ae1a69d543e94b5f227"><div class="sc-50f3f27-2 grgSlq"><div class="sc-50f3f27-4 jsoycV">
872<div class="builder-blocks builder-blocks-child sc-f59ecc33-0 heJMPK css-h47494" builder-type="blocks" builder-parent-id="builder-7cfd65f6473a4ae1a69d543e94b5f227"><div class="builder-block builder-ae84d264845f4af9947d00513936551f builder-has-component css-xsn8zw" builder-id="builder-ae84d264845f4af9947d00513936551f"><img alt="Generate release notes" fetchPriority="auto" loading="lazy" width="1236" height="1108" decoding="async" data-nimg="1" class="sc-8dfbeffc-0 dWzftT builder-image" style="color:transparent" sizes="(min-width: 1024px) 50vw, 100vw" srcSet="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fb370cf733528440f9e79e8ed411874c8&w=256&q=75 256w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fb370cf733528440f9e79e8ed411874c8&w=320&q=75 320w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fb370cf733528440f9e79e8ed411874c8&w=384&q=75 384w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fb370cf733528440f9e79e8ed411874c8&w=420&q=75 420w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fb370cf733528440f9e79e8ed411874c8&w=768&q=75 768w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fb370cf733528440f9e79e8ed411874c8&w=1024&q=75 1024w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fb370cf733528440f9e79e8ed411874c8&w=1280&q=75 1280w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fb370cf733528440f9e79e8ed411874c8&w=1440&q=75 1440w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fb370cf733528440f9e79e8ed411874c8&w=1920&q=75 1920w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fb370cf733528440f9e79e8ed411874c8&w=2560&q=75 2560w" src="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fb370cf733528440f9e79e8ed411874c8&w=2560&q=75"/></div></div></div><div class="sc-50f3f27-5 lmhdfA"><div class="builder-block builder-94239814d37a4ca8b059db7edd240a5c builder-has-component css-xsn8zw" builder-id="builder-94239814d37a4ca8b059db7edd240a5c"><div class="sc-d10b6be9-0 eFtoNm"><h2 class="sc-d10b6be9-2 lgGpxB"><svg viewBox="0 0 24 24" aria-label="star-04" class="sc-829600aa-0 cCPQgY"><use href="/icon/star-04/#i"></use></svg><span class="sc-f231891c-0 dxrpTV">AI for product release notes</span></h2><h3 class="sc-d626836c-0 kXdITz">Generate communications</h3></div></div><div class="builder-block builder-f63aa71a99754c2189634c86f4685e0f builder-has-component css-xsn8zw" builder-id="builder-f63aa71a99754c2189634c86f4685e0f"><div class="sc-4cebc972-0 EHhun builder-text"><p class="sc-f231891c-0 kCFnxQ">Write it once. Then instantly adapt for many purposes, from team updates to external comms.</p></div></div><div class="builder-block builder-1cab4313cfbe4d799156e0c5d25163f9 builder-has-component css-xsn8zw" builder-id="builder-1cab4313cfbe4d799156e0c5d25163f9"><div class="sc-20e9e0fd-0 jlhJDx"><svg viewBox="0 0 24 24" aria-label="edit-04" class="sc-829600aa-0 fXdLFc"><use href="/icon/edit-04/#i"></use></svg><p class="sc-f231891c-0 gOnXOk">Draft release notes</p></div></div><div class="builder-block builder-57ec23848b164e9c9cd8e5b09919128e builder-has-component css-xsn8zw" builder-id="builder-57ec23848b164e9c9cd8e5b09919128e"><div class="sc-20e9e0fd-0 jlhJDx"><svg viewBox="0 0 24 24" aria-label="book-open-01" class="sc-829600aa-0 fXdLFc"><use href="/icon/book-open-01/#i"></use></svg><p class="sc-f231891c-0 gOnXOk">Prepare status updates</p></div></div><div class="builder-block builder-57acf313c5ba4e23abad9d7190ac0a66 builder-has-component css-xsn8zw" builder-id="builder-57acf313c5ba4e23abad9d7190ac0a66"><div class="sc-20e9e0fd-0 jlhJDx"><svg viewBox="0 0 24 24" aria-label="file-05" class="sc-829600aa-0 fXdLFc"><use href="/icon/file-05/#i"></use></svg><p class="sc-f231891c-0 gOnXOk">Create enablement assets</p></div></div></div></div></section></div></div></section></div></section></div><div class="builder-block builder-e638129555bc4a57bfbbd5125b294ab5 css-xsn8zw" builder-id="builder-e638129555bc4a57bfbbd5125b294ab5"><section class="sc-959f3619-2 cubcnK sc-bf52b220-0 gHWGSY callout builder-block builder-492e50b4f3144b24817af95877a954cf builder-has-component css-xsn8zw" data-testid="callout-wrapper" builder-id="builder-492e50b4f3144b24817af95877a954cf"><div class="sc-bf52b220-1 cOfXcj"><div class="sc-bf52b220-2 iUyoyq"><h2 class="sc-d626836c-0 fUltOX">Real-time collaborationâ¨with colleagues & agents</h2></div><p class="sc-f231891c-0 gYkRfZ">When Spark makes an update, you can easily review and accept its changes inline. Maintain full control with document version history.</p></div><div class="builder-blocks no-blocks sc-a0182020-0 bXMtDy css-h47494" builder-type="blocks" builder-parent-id="builder-492e50b4f3144b24817af95877a954cf"></div></section><div class="builder-block builder-0713588f44ff4e2a90d85cc0bb6b8a13 builder-has-component css-xsn8zw" builder-id="builder-0713588f44ff4e2a90d85cc0bb6b8a13">
872<section class="sc-959f3619-2 ctUYze sc-a4765cf1-0 hyLOAU"><div class="sc-a4765cf1-1 iTekKj"><div class="builder-blocks builder-blocks-child sc-6f946ac2-0 fWEZPB css-h47494" builder-type="blocks" builder-parent-id="builder-0713588f44ff4e2a90d85cc0bb6b8a13"><div class="builder-block builder-6051a557ef06486a9c0809577f6e50dd builder-has-component css-12j3v0e" builder-id="builder-6051a557ef06486a9c0809577f6e50dd"><img alt="Review and accept Spark's changes" fetchPriority="auto" loading="lazy" width="1160" height="1020" decoding="async" data-nimg="1" class="sc-8dfbeffc-0 kyUYxm builder-image" style="color:transparent" sizes="100vw" srcSet="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F11c078d0005146b6b4af289b2a8c8940&w=320&q=75 320w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F11c078d0005146b6b4af289b2a8c8940&w=384&q=75 384w, 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1920w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F11c078d0005146b6b4af289b2a8c8940&w=2560&q=75 2560w" src="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F11c078d0005146b6b4af289b2a8c8940&w=2560&q=75"/></div></div><div class="builder-blocks builder-blocks-child sc-6f946ac2-0 fWEZPB css-h47494" builder-type="blocks" builder-parent-id="builder-0713588f44ff4e2a90d85cc0bb6b8a13"><div class="builder-block builder-9f53dfa770c24e83a7dc04c9dcd94513 builder-has-component css-12j3v0e" builder-id="builder-9f53dfa770c24e83a7dc04c9dcd94513"><img alt="Productboard document version history with inline diff" fetchPriority="auto" loading="lazy" width="1160" height="1019" decoding="async" data-nimg="1" class="sc-8dfbeffc-0 kyUYxm builder-image" style="color:transparent" sizes="100vw" srcSet="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Ff43e5c6f6f40449498a2a2b0d539c66e&w=320&q=75 320w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Ff43e5c6f6f40449498a2a2b0d539c66e&w=384&q=75 384w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Ff43e5c6f6f40449498a2a2b0d539c66e&w=420&q=75 420w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Ff43e5c6f6f40449498a2a2b0d539c66e&w=768&q=75 768w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Ff43e5c6f6f40449498a2a2b0d539c66e&w=1024&q=75 1024w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Ff43e5c6f6f40449498a2a2b0d539c66e&w=1280&q=75 1280w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Ff43e5c6f6f40449498a2a2b0d539c66e&w=1440&q=75 1440w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Ff43e5c6f6f40449498a2a2b0d539c66e&w=1920&q=75 1920w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Ff43e5c6f6f40449498a2a2b0d539c66e&w=2560&q=75 2560w" src="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Ff43e5c6f6f40449498a2a2b0d539c66e&w=2560&q=75"/></div></div></div></section></div></div><section class="sc-959f3619-2 kFaiHp sc-4a3cc5e9-0 iEweLh builder-block builder-8150d15834204022937f6b2ee8bdd04c builder-has-component css-xsn8zw" builder-id="builder-8150d15834204022937f6b2ee8bdd04c"><div aria-hidden="true" class="sc-4a3cc5e9-1 dnGSFw"><svg viewBox="0 0 24 24" aria-label="spark-logo" class="sc-829600aa-0 lgDxtT sc-4a3cc5e9-3 fxInXf"><use href="/icons/spark-logo.svg#spark-logo"></use></svg><svg viewBox="0 0 24 24" aria-label="spark-logo" class="sc-829600aa-0 fQhUob sc-4a3cc5e9-3 cqbWcM"><use href="/icons/spark-logo.svg#spark-logo"></use></svg><svg viewBox="0 0 24 24" aria-label="spark-logo" class="sc-829600aa-0 fHcJaj sc-4a3cc5e9-3 kAToAZ"><use href="/icons/spark-logo.svg#spark-logo"></use></svg><svg viewBox="0 0 24 24" aria-label="spark-logo" class="sc-829600aa-0 fVbVD sc-4a3cc5e9-3 bpXYhf"><use href="/icons/spark-logo.svg#spark-logo"></use></svg><svg viewBox="0 0 24 24" aria-label="spark-logo" class="sc-829600aa-0 cBpbMX sc-4a3cc5e9-3 hMXLkP"><use href="/icons/spark-logo.svg#spark-logo"></use></svg><svg viewBox="0 0 24 24" aria-label="spark-logo" class="sc-829600aa-0 cBpbMX sc-4a3cc5e9-3 fPLTEN"><use href="/icons/spark-logo.svg#spark-logo"></use></svg><svg viewBox="0 0 24 24" aria-label="spark-logo" class="sc-829600aa-0 lgDxtT sc-4a3cc5e9-3 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dDYNMv"><article class="sc-f0b5141d-4 emJcJn"><div class="sc-4cebc972-0 EHhun builder-text"><p class="sc-f231891c-0 kCFnxQ">Spark has helped us synthesize all of our customer feedback related to what we're shipping which makes it easier to build a business case.</p></div><footer class="sc-f0b5141d-5 SyupD"><img alt="Padma Prasad avatar" loading="lazy" width="50" height="50" decoding="async" data-nimg="1" class="sc-8dfbeffc-0 fsfoBc" style="color:transparent" srcSet="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F1cfc8db643034f328783b59e4569cafc&w=64&q=75 1x, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F1cfc8db643034f328783b59e4569cafc&w=128&q=75 2x" src="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F1cfc8db643034f328783b59e4569cafc&w=128&q=75"/><div class="sc-f0b5141d-6 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src="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F90dc353ba0f949bea1c35c94ecd68cef&w=128&q=75"/><div class="sc-f0b5141d-6 cDxYKM"><div class="sc-f231891c-0 ihabvg">Mirza Yusof</div><div class="sc-f231891c-0 hkumiQ">Praxedo</div></div></footer></article><article class="sc-f0b5141d-4 emJcJn"><div class="sc-4cebc972-0 EHhun builder-text"><p class="sc-f231891c-0 kCFnxQ">I saved 1 week of work in just 90 minutes using Spark and successfully delivered the product brief to my executive team. They took it to our board and we got a full green light.</p></div><footer class="sc-f0b5141d-5 SyupD"><img alt="Generic avatar" loading="lazy" width="50" height="50" decoding="async" data-nimg="1" class="sc-8dfbeffc-0 fsfoBc" style="color:transparent" srcSet="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F7e1fc93c8e7c4ce5b154b543224d5bc6&w=64&q=75 1x, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F7e1fc93c8e7c4ce5b154b543224d5bc6&w=128&q=75 2x" src="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F7e1fc93c8e7c4ce5b154b543224d5bc6&w=128&q=75"/><div class="sc-f0b5141d-6 cDxYKM"><div class="sc-f231891c-0 ihabvg">Product Director</div><div class="sc-f231891c-0 hkumiQ">Career intelligence company</div></div></footer></article><article class="sc-f0b5141d-4 emJcJn"><div class="sc-4cebc972-0 EHhun builder-text"><p class="sc-f231891c-0 kCFnxQ">I use Spark for all my PM workflows because I've built out our product context in there. It has all the product background and strategy that other AI tools just don't have.</p></div><footer class="sc-f0b5141d-5 SyupD"><img alt="Generic avatar" loading="lazy" width="50" height="50" decoding="async" data-nimg="1" class="sc-8dfbeffc-0 fsfoBc" style="color:transparent" srcSet="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Ffd7259c950134ef9a3ee0e4c40393675&w=64&q=75 1x, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Ffd7259c950134ef9a3ee0e4c40393675&w=128&q=75 2x" src="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Ffd7259c950134ef9a3ee0e4c40393675&w=128&q=75"/><div class="sc-f0b5141d-6 cDxYKM"><div class="sc-f231891c-0 ihabvg">Lead Product Manager</div><div class="sc-f231891c-0 hkumiQ">Enterprise technology company</div></div></footer></article><article class="sc-f0b5141d-4 emJcJn"><div class="sc-4cebc972-0 EHhun builder-text"><p class="sc-f231891c-0 kCFnxQ">What I love about Spark is that it already has all the product context built in, so I don't need to re-iterate everything like I do with other AI tools.</p></div><footer class="sc-f0b5141d-5 SyupD"><img alt="Generic avatar" loading="lazy" width="50" height="50" decoding="async" data-nimg="1" class="sc-8dfbeffc-0 fsfoBc" style="color:transparent" srcSet="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Ffd7259c950134ef9a3ee0e4c40393675&w=64&q=75 1x, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Ffd7259c950134ef9a3ee0e4c40393675&w=128&q=75 2x" src="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Ffd7259c950134ef9a3ee0e4c40393675&w=128&q=75"/><div class="sc-f0b5141d-6 cDxYKM"><div class="sc-f231891c-0 ihabvg">Product Director</div><div class="sc-f231891c-0 hkumiQ">SMB technology company</div></div></footer></article><article class="sc-f0b5141d-4 emJcJn"><div class="sc-4cebc972-0 EHhun builder-text"><p class="sc-f231891c-0 kCFnxQ">I tried building prototypes in Claude but constantly had to recreate context about customers and user feedback from scratch. With Spark, all that info from previous initiatives is already organized and accessible. This saves me time and dramatically improves output quality.</p></div><footer class="sc-f0b5141d-5 SyupD"><img alt="Josine oude Lohuis avatar" loading="lazy" width="50" height="50" decoding="async" data-nimg="1" class="sc-8dfbeffc-0 fsfoBc" style="color:transparent" srcSet="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F81147fa3f2824703bf6830756072a37a&w=64&q=75 1x, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F81147fa3f2824703bf6830756072a37a&w=128&q=75 2x" src="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F81147fa3f2824703bf6830756072a37a&w=128&q=75"/><div class="sc-f0b5141d-6 cDxYKM"><div class="sc-f231891c-0 ihabvg">Josine oude Lohuis</div><div class="sc-f231891c-0 hkumiQ">Spirefly</div></div></footer></article><article class="sc-f0b5141d-4 emJcJn"><div class="sc-4cebc972-0 EHhun builder-text"><p class="sc-f231891c-0 kCFnxQ">Spark's document generation is a game changer for product briefs, PRDs, and discovery plans. It creates more structured and actionable outputs compared to manual creation.</p></div><footer class="sc-f0b5141d-5 SyupD"><img alt="Jason Kothary avatar" loading="lazy" width="50" height="50" decoding="async" data-nimg="1" class="sc-8dfbeffc-0 fsfoBc" style="color:transparent" srcSet="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F78b01f5c02d94b6faf2ac993a7ff6ad3&w=64&q=75 1x, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F78b01f5c02d94b6faf2ac993a7ff6ad3&w=128&q=75 2x" src="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F78b01f5c02d94b6faf2ac993a7ff6ad3&w=128&q=75"/><div class="sc-f0b5141d-6 cDxYKM"><div class="sc-f231891c-0 ihabvg">Jason Kothary</div><div class="sc-f231891c-0 hkumiQ">March of Dimes Canada</div></div></footer></article><article class="sc-f0b5141d-4 emJcJn"><div class="sc-4cebc972-0 EHhun builder-text"><p class="sc-f231891c-0 kCFnxQ">For finding themes across feedback, Spark goes beyond what generic LLMs do by providing actual recommendations based on our company strategy and context already stored in Productboard. It feels like having a real business partner rather than just a theme-grouping tool.</p></div><footer class="sc-f0b5141d-5 SyupD"><img alt="Generic avatar" loading="lazy" width="50" height="50" decoding="async" data-nimg="1" class="sc-8dfbeffc-0 fsfoBc" style="color:transparent" srcSet="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Ffd7259c950134ef9a3ee0e4c40393675&w=64&q=75 1x, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Ffd7259c950134ef9a3ee0e4c40393675&w=128&q=75 2x" src="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fa
872pi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Ffd7259c950134ef9a3ee0e4c40393675&w=128&q=75"/><div class="sc-f0b5141d-6 cDxYKM"><div class="sc-f231891c-0 ihabvg">Product Ops Manager</div><div class="sc-f231891c-0 hkumiQ">Mid-market technology company</div></div></footer></article><article class="sc-f0b5141d-4 emJcJn"><div class="sc-4cebc972-0 EHhun builder-text"><p class="sc-f231891c-0 kCFnxQ">With Spark, we have been able to glean insights from thousands of pieces of feedback that used to take us days to produce with manual spreadsheets from disconnected sources.</p></div><footer class="sc-f0b5141d-5 SyupD"><img alt="Generic avatar" loading="lazy" width="50" height="50" decoding="async" data-nimg="1" class="sc-8dfbeffc-0 fsfoBc" style="color:transparent" srcSet="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F44dc6a0bd79849af97ee26276417a843&w=64&q=75 1x, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F44dc6a0bd79849af97ee26276417a843&w=128&q=75 2x" src="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F44dc6a0bd79849af97ee26276417a843&w=128&q=75"/><div class="sc-f0b5141d-6 cDxYKM"><div class="sc-f231891c-0 ihabvg">Senior Product Manager</div><div class="sc-f231891c-0 hkumiQ">Mid-market SaaS company</div></div></footer></article><article class="sc-f0b5141d-4 emJcJn"><div class="sc-4cebc972-0 EHhun builder-text"><p class="sc-f231891c-0 kCFnxQ">What used to take a week now takes a day with Spark. It saves me a substantial amount of time.</p></div><footer class="sc-f0b5141d-5 SyupD"><img alt="Ted Quinby avatar" loading="lazy" width="50" height="50" decoding="async" data-nimg="1" class="sc-8dfbeffc-0 fsfoBc" style="color:transparent" srcSet="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F66de806b54e34a51a00daf06f381a93e&w=64&q=75 1x, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F66de806b54e34a51a00daf06f381a93e&w=128&q=75 2x" src="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F66de806b54e34a51a00daf06f381a93e&w=128&q=75"/><div class="sc-f0b5141d-6 cDxYKM"><div class="sc-f231891c-0 ihabvg">Ted Quinby</div><div class="sc-f231891c-0 hkumiQ">Sellenriek</div></div></footer></article><article class="sc-f0b5141d-4 emJcJn"><div class="sc-4cebc972-0 EHhun builder-text"><p class="sc-f231891c-0 kCFnxQ">Spark helps me digest feedback, surface trends and create send-ready Slack messages.</p><p class="sc-f231891c-0 kCFnxQ">Weâve used it to identify trending topics from Gong calls conducted by our sellers and bring those insights to the whole PM org.</p></div><footer class="sc-f0b5141d-5 SyupD"><img alt="Tiago Leao avatar" loading="lazy" width="50" height="50" decoding="async" data-nimg="1" class="sc-8dfbeffc-0 fsfoBc" style="color:transparent" srcSet="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fa095e62beddf4cfa9adc4f0207e4ce3b&w=64&q=75 1x, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fa095e62beddf4cfa9adc4f0207e4ce3b&w=128&q=75 2x" src="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fa095e62beddf4cfa9adc4f0207e4ce3b&w=128&q=75"/><div class="sc-f0b5141d-6 cDxYKM"><div class="sc-f231891c-0 ihabvg">Tiago Leão</div><div class="sc-f231891c-0 hkumiQ">OutSystems</div></div></footer></article><article class="sc-f0b5141d-4 emJcJn"><div class="sc-4cebc972-0 EHhun builder-text"><p class="sc-f231891c-0 kCFnxQ">I turn to Spark for PM-specific work because it gives us consistency across our team. Spark acts as guardrails to ensure everyone across the team is getting responses based on best practices, versus each PM doing their own thing with local AI tools.</p></div><footer class="sc-f0b5141d-5 SyupD"><img alt="Generic avatar" loading="lazy" width="50" height="50" decoding="async" data-nimg="1" class="sc-8dfbeffc-0 fsfoBc" style="color:transparent" srcSet="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F7e1fc93c8e7c4ce5b154b543224d5bc6&w=64&q=75 1x, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F7e1fc93c8e7c4ce5b154b543224d5bc6&w=128&q=75 2x" src="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F7e1fc93c8e7c4ce5b154b543224d5bc6&w=128&q=75"/><div class="sc-f0b5141d-6 cDxYKM"><div class="sc-f231891c-0 ihabvg">Head of Product</div><div class="sc-f231891c-0 hkumiQ">Mid-market SaaS company</div></div></footer></article><article class="sc-f0b5141d-4 emJcJn"><div class="sc-4cebc972-0 EHhun builder-text"><p class="sc-f231891c-0 kCFnxQ">The most valuable thing Spark has changed for us is how we synthesize feedback. We have tons of insights and a solid product hierarchy in place, but before Spark it was time consuming to discover trends and summarize for stakeholders. Now it'
872s automatic.</p></div><footer class="sc-f0b5141d-5 SyupD"><img alt="Generic avatar" loading="lazy" width="50" height="50" decoding="async" data-nimg="1" class="sc-8dfbeffc-0 fsfoBc" style="color:transparent" srcSet="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Ffd7259c950134ef9a3ee0e4c40393675&w=64&q=75 1x, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Ffd7259c950134ef9a3ee0e4c40393675&w=128&q=75 2x" src="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Ffd7259c950134ef9a3ee0e4c40393675&w=128&q=75"/><div class="sc-f0b5141d-6 cDxYKM"><div class="sc-f231891c-0 ihabvg">Head of Product</div><div class="sc-f231891c-0 hkumiQ">Mid-market SaaS company</div></div></footer></article></div></div></section></div></div></div></section><div id="landing-carousel" class="builder-block builder-f990d436801e4c74b80cfd065ac2c757 builder-has-component css-xsn8zw" builder-id="builder-f990d436801e4c74b80cfd065ac2c757"><section class="sc-959f3619-2 hgdAjV sc-e46cf94f-0 GoTIt"><div role="group" class="sc-e46cf94f-1 gTJThr"><div class="sc-959f3619-2 gSGXiZ sc-bf52b220-0 gHWGSY callout" data-testid="callout-wrapper"><div class="sc-bf52b220-1 cOfXcj"><div class="sc-bf52b220-2 iUyoyq"><h2 class="sc-d626836c-0 grmgCr">An agent built for <span class="gradient-highlighted-text">product management</span></h2></div><p class="sc-f231891c-0 iMmAWe"></p></div></div><div class="sc-e46cf94f-2 hoswtj"><div data-testid="base-carousel-embla" aria-roledescription="carousel" class="sc-31d63667-0 iMGJGS"><div class="sc-31d63667-1 hkaLlA embla-viewport"><div class="sc-31d63667-2 dQKVvA embla-container"><div class="sc-31d63667-3 bDPmGA embla-slide is-snapped"><div role="article" aria-label="Purpose-built for product: Specialized agentic workflows with embedded best practices allow Spark to surface things you might have missed and provide guidance tailored for PMs." class="sc-e83bb66c-0 etzdyC builder-block builder-a761757880cd4babb527811bfb33badf builder-has-component css-xsn8zw" builder-id="builder-a761757880cd4babb527811bfb33badf"><img alt="Purpose-built for product" loading="lazy" width="1200" height="630" decoding="async" data-nimg="1" class="sc-e83bb66c-1 kwHaVg" style="color:transparent" srcSet="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fbfbafb1336bd4fda8ac72e42d010909d&w=1280&q=100 1x, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fbfbafb1336bd4fda8ac72e42d010909d&w=2560&q=100 2x" src="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fbfbafb1336bd4fda8ac72e42d010909d&w=2560&q=100"/><div class="sc-e83bb66c-2 cbxaaW"><h4 data-heading-with-eyebrow="true" class="sc-d626836c-0 bPAlKC">Purpose-built for product</h4><p data-visual-card-description="true" class="sc-f231891c-0 fHcFHg">Specialized agentic workflows with embedded best practices allow Spark to surface things you might have missed and provide guidance tailored for PMs.</p></div></div></div><div class="sc-31d63667-3 bDPmGA embla-slide"><div role="article" aria-label="Remembers your context: Spark knows your product, customers, and market. It connects to your data, your documents, even your codebase, to provide the most relevant outputs. This knowledge compounds over time." class="sc-e83bb66c-0 etzdyC builder-block builder-1560127578284b6a88a1faefe952c086 builder-has-component css-xsn8zw" builder-id="builder-1560127578284b6a88a1faefe952c086"><img alt="Remembers your context" loading="lazy" width="1200" height="630" decoding="async" data-nimg="1" class="sc-e83bb66c-1 kwHaVg" style="color:transparent" srcSet="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F14356c6273214036bf7218bd8e69204e&w=1280&q=100 1x, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F14356c6273214036bf7218bd8e69204e&w=2560&q=100 2x" src="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F14356c6273214036bf7218bd8e69204e&w=2560&q=100"/><div class="sc-e83bb66c-2 cbxaaW"><h4 data-heading-with-eyebrow="true" class="sc-d626836c-0 bPAlKC">Remembers your context</h4><p data-visual-card-description="true" class="sc-f231891c-0 fHcFHg">Spark knows your product, customers, and market. It connects to your data, your documents, even your codebase, to provide the most relevant outputs. This knowledge compounds over time.</p></div></div></div><div class="sc-31d63667-3 bDPmGA embla-slide"><div role="article" aria-label="Every output is traceable: Every insight, every recommendation links back to real pieces of feedback and source documents, so you can stand by decisions made with Spark." class="sc-e83bb66c-0 etzdyC builder-block builder-ff3416de9eca49ec9dfe1412b2a81e5a builder-has-component css-xsn8zw" builder-id="builder-ff3416de9eca49ec9dfe1412b2a81e5a"><img alt="Every output is traceable" loading="lazy" width="1200" height="630" decoding="async" data-nimg="1" class="sc-e83bb66c-1 kwH
872aVg" style="color:transparent" srcSet="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F00f3087956a54c4ebcbf50ee75efc1b0&w=1280&q=100 1x, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F00f3087956a54c4ebcbf50ee75efc1b0&w=2560&q=100 2x" src="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F00f3087956a54c4ebcbf50ee75efc1b0&w=2560&q=100"/><div class="sc-e83bb66c-2 cbxaaW"><h4 data-heading-with-eyebrow="true" class="sc-d626836c-0 bPAlKC">Every output is traceable</h4><p data-visual-card-description="true" class="sc-f231891c-0 fHcFHg">Every insight, every recommendation links back to real pieces of feedback and source documents, so you can stand by decisions made with Spark.</p></div></div></div><div class="sc-31d63667-3 bDPmGA embla-slide"><div role="article" aria-label="Multiplayer by default: Unlike single-player generic AI tools, Spark is built for collaboration, shared knowledge, and saved skills that allow everyone to gain maximum benefit from AI." class="sc-e83bb66c-0 etzdyC builder-block builder-65f15d5414bd4e66b22a0c37ab427867 builder-has-component css-xsn8zw" builder-id="builder-65f15d5414bd4e66b22a0c37ab427867"><img alt="Multiplayer by default" loading="lazy" width="1200" height="630" decoding="async" data-nimg="1" class="sc-e83bb66c-1 kwHaVg" style="color:transparent" srcSet="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F626f992fda694b49894bad7c832e46d2&w=1280&q=100 1x, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F626f992fda694b49894bad7c832e46d2&w=2560&q=100 2x" src="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F626f992fda694b49894bad7c832e46d2&w=2560&q=100"/><div class="sc-e83bb66c-2 cbxaaW"><h4 data-heading-with-eyebrow="true" class="sc-d626836c-0 bPAlKC">Multiplayer by default</h4><p data-visual-card-description="true" class="sc-f231891c-0 fHcFHg">Unlike single-player generic AI tools, Spark is built for collaboration, shared knowledge, and saved skills that allow everyone to gain maximum benefit from AI.</p></div></div></div><div class="sc-31d63667-3 bDPmGA embla-slide"><div role="article" aria-label="Frees you to focus on your product: Maintaining DIY agent stacks soon becomes a full-time job. Productboardâs agentic system provides the specialized agents, orchestration and harness, model evals, token expenditure optimization, and more." class="sc-e83bb66c-0 etzdyC builder-block builder-5177da1f61ca47cbbde98a4f5c05e464 builder-has-component css-xsn8zw" builder-id="builder-5177da1f61ca47cbbde98a4f5c05e464"><img alt="Frees you to focus on your product" loading="lazy" width="1200" height="630" decoding="async" data-nimg="1" class="sc-e83bb66c-1 kwHaVg" style="color:transparent" srcSet="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F462af8de827e43e89668759141307acd&w=1280&q=100 1x, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F462af8de827e43e89668759141307acd&w=2560&q=100 2x" src="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F462af8de827e43e89668759141307acd&w=2560&q=100"/><div class="sc-e83bb66c-2 cbxaaW"><h4 data-heading-with-eyebrow="true" class="sc-d626836c-0 bPAlKC">Frees you to focus on your product</h4><p data-visual-card-description="true" class="sc-f231891c-0 fHcFHg">Maintaining DIY agent stacks soon becomes a full-time job. Productboardâs agentic system provides the specialized agents, orchestration and harness, model evals, token expenditure optimization, and more.</p></div></div></div></div></div><span class="embla-arrows"><button aria-label="Previous slide" class="sc-31d63667-4 sc-31d63667-5 boyhLx ewAaYD"><svg viewBox="0 0 24 24" aria-label="chevron-left" class="sc-829600aa-0 iLjxCz"><use href="/icon/chevron-left/#i"></use></svg></button><button aria-label="Next slide" class="sc-31d63667-4 sc-31d63667-6 boyhLx iVpfVQ"><svg viewBox="0 0 24 24" aria-label="chevron-right" class="sc-829600aa-0 iLjxCz"><use href="/icon/chevron-right/#i"></use></svg></button></span><div class="sc-31d63667-7 bBLrAp"></div></div></div></div></section></div><section class="sc-959f3619-2 edzqAI sc-bf52b220-0 gHWGSY callout builder-block builder-913d6e57e4ed4aeca730d675fb290232 builder-has-component css-xsn8zw" data-testid="callout-wrapper" builder-id="builder-913d6e57e4ed4aeca730d675fb290232"><div class="sc-bf52b220-1 cOfXcj"><div class="sc-bf52b220-2 iUyoyq"><h2 class="sc-d626836c-0 eeMFMv">Context without borders</h2></div><p class="sc-f231891c-0 kPBiGV">Centralize customer feedback, tap into external docs, analyze your co
872debase, send specs to delivery agents, evaluate product analytics, and more.</p></div><div class="builder-blocks no-blocks sc-a0182020-0 bXMtDy css-h47494" builder-type="blocks" builder-parent-id="builder-913d6e57e4ed4aeca730d675fb290232"></div></section><div class="builder-block builder-91e536a93f4b465dbab9fb67d2370243 builder-has-component css-xsn8zw" builder-id="builder-91e536a93f4b465dbab9fb67d2370243"><section class="sc-959f3619-2 cCFeEq sc-cac32faa-0 fULIpe"><div class="sc-cac32faa-1 gpntDg"><div class="sc-cac32faa-2 ehBbFm"><div class="sc-cac32faa-3 jCOzIp"><div class="sc-cac32faa-4 ejBHrS"><img alt="Amplitude logo - Productboard" loading="lazy" decoding="async" data-nimg="fill" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;object-fit:contain;color:transparent" sizes="100vw" srcSet="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fd429c540b6b442979d8234e004e68439&w=320&q=75 320w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fd429c540b6b442979d8234e004e68439&w=420&q=75 420w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fd429c540b6b442979d8234e004e68439&w=768&q=75 768w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fd429c540b6b442979d8234e004e68439&w=1024&q=75 1024w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fd429c540b6b442979d8234e004e68439&w=1280&q=75 1280w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fd429c540b6b442979d8234e004e68439&w=1440&q=75 1440w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fd429c540b6b442979d8234e004e68439&w=1920&q=75 1920w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fd429c540b6b442979d8234e004e68439&w=2560&q=75 2560w" src="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fd429c540b6b442979d8234e004e68439&w=2560&q=75"/></div></div><div class="sc-cac32faa-3 jCOzIp"><div class="sc-cac32faa-4 ejBHrS"><img alt="Hex logo - Productboard" loading="lazy" decoding="async" data-nimg="fill" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;object-fit:contain;color:transparent" sizes="100vw" srcSet="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F39194f37141f40ea9de4ebab05fce479&w=320&q=75 320w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F39194f37141f40ea9de4ebab05fce479&w=420&q=75 420w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F39194f37141f40ea9de4ebab05fce479&w=768&q=75 768w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F39194f37141f40ea9de4ebab05fce479&w=1024&q=75 1024w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F39194f37141f40ea9de4ebab05fce479&w=1280&q=75 1280w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F39194f37141f40ea9de4ebab05fce479&w=1440&q=75 1440w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F39194f37141f40ea9de4ebab05fce479&w=1920&q=75 1920w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F39194f37141f40ea9de4ebab05fce479&w=2560&q=75 2560w" src="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F39194f37141f40ea9de4ebab05fce479&w=2560&q=75"/></div></div><div class="sc-cac32faa-3 jCOzIp"><div class="sc-cac32faa-4 ejBHrS"><img alt="Pendo logo - Productboard" loading="lazy" decoding="async" data-nimg="fill" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;object-fit:contain;color:transparent" sizes="100vw" srcSet="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fa7705e146de440a89cbcb7adbdf87620&w=320&q=75 320w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fa7705e146de440a89cbcb7adbdf87620&w=420&q=75 420w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fa7705e146de440a89cbcb7adbdf87620&w=768&q=75 768w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fa7705e146de440a89cbcb7adbdf87620&w=1024&q=75 1024w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fa7705e146de440a89cbcb7adbdf87620&w=1280&q=75 1280w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fa7705e146de440a89cbcb7adbdf87620&w=1440&q=75 1440w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fa7705e146de440a89cbcb7adbdf87620&w=1920&q=75 1920w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fa7705e146de440a89cbcb7adbdf87620&w=2560&q=75 2560w" src="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fa7705e146de440a89cbcb7adbdf87620&w=2560&q=75"/></div></div><div class="sc-cac32faa-3 jCOzIp"><div class="sc-cac32faa-4 ejBHrS"><img alt="Google Drive logo - Productboard" loading="lazy" decoding="async" data-nimg="fill" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;object-fit:contain;color:transparent" sizes="100vw" srcSet="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F95ad174f3844486992817d2775eabaf3&w=320&q=75 320w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F95ad174f3844486992817d2775eabaf3&w=420&q=75 420w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F95ad174f3844486992817d2775eabaf3&w=768&q=75 768w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F95ad174f3844486992817d2775eabaf3&w=1024&q=75 1024w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F95ad174f3844486992817d2775eabaf3&w=1280&q=75 1280w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F95ad174f3844486992817d2775eabaf3&w=1440&q=75 1440w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F95ad174f3844486992817d2775eabaf3&w=1920&q=75 1920w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F95ad174f3844486992817d2775eabaf3&w=2560&q=75 2560w" src="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252F95ad174f3844486992817d2775eabaf3&w=2560&q=75"/></div></div><div class="sc-cac32faa-3 jCOzIp"><div class="sc-cac32faa-4 ejBHrS"><img alt="Notion logo - Productboard" loading="lazy" decoding="async" data-nimg="fill" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;object-fit:contain;color:transparent" sizes="100vw" srcSet="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fa632c94bd85043118988e7824c0c8a5b&w=320&q=75 320w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fa632c94bd85043118988e7824c0c8a5b&w=420&q=75 420w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fa632c94bd85043118988e7824c0c8a5b&w=768&q=75 768w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fa632c94bd85043118988e7824c0c8a5b&w=1024&q=75 1024w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fa632c94bd85043118988e7824c0c8a5b&w=1280&q=75 1280w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fa632c94bd85043118988e7824c0c8a5b&w=1440&q=75 1440w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fa632c94bd85043118988e7824c0c8a5b&w=1920&q=75 1920w, /_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fa632c94bd85043118988e7824c0c8a5b&w=2560&q=75 2560w" src="/_next/image/?url=https%3A%2F%2Fcdn.builder.io%2Fapi%2Fv1%2Fimage%2Fassets%252F1d8ecee591ac4358befb8fe998100548%252Fa632c94bd85043118988e7824c0c8a5b&w=2560&q=75"/></div></div><div class="sc-cac32faa-3 jCOzIp"><div class="sc-cac32faa-4 ejBHrS"><img alt="Slack logo - 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891<script type="application/ld+json">{"@context":"https://schema.org","@type":"FAQPage","mainEntity":[{"@type":"Question","name":"What is Productboard Spark?","acceptedAnswer":{"@type":"Answer","text":"Productboard Spark is a specialized AI agent that knows your product, customers, and market. It's purpose-built for product makers, including product managers, product leaders, and other collaborators. And it comes built into Productboard's agentic product system â not as a separate solution or add-on. Spark connects to all your organization's product data in Productboard, your customer feedback, strategy documents, competitive intel, product documentation, and product codebase â then does the analytical work and information synthesis that previously consumed most of a product manager's week. If you're just getting started with Spark, you can look forward to putting it to use surfacing your highest-impact opportunities ranked by evidence, turning them into delivery-ready specifications through guided conversation, and measuring whether what you shipped actually drove impact."}},{"@type":"Question","name":"How is Spark different from ChatGPT, Claude, Gemini, or other general-purpose AI tools?\n","acceptedAnswer":{"@type":"Answer","text":"General-purpose AI tools give you general-purpose outputs. You can copy/paste context, upload files, and jump through hoops to get more tailored results, but the responses are still heavily reliant on generic patterns and publicly available information. They're not sound for guiding your product decisions, setting strategy, or formulating the solutions you'll build next. Productboard Spark provides benefits for product teams not available in generic AI solutions: Dependable outputs: Every Spark output is traceable to its source, with citations that take you to related feedback and documents. Generic AI produces plausible-sounding outputs, often disconnected from underlying sources and your organization's data. Persistent context: Spark knows your product, customers, and market from day one, and that knowledge compounds over time. Generic AI requires re-uploading context to every new project or session. Deep collaboration: Spark is multiplayer by default. Specs can be co-edited in real time by PM, designer, engineer, and Spark! Generic AI remains fundamentally single-player. Guided workflows: Spark has PM best practices baked in â opportunity discovery, feedback analysis, spec authoring, and impact measurement. Spark is equipped to take you through guided workflows, or execute on complex product tasks, while always keeping you in the driver seat. With generic AI you always start from a blank prompt window. Org knowledge: Knowledge in Spark compounds at the organization level and survives every personnel change. In generic AI, it lives in individuals' chat histories."}},{"@type":"Question","name":"How is Spark different from using Claude Code or Cursor for product management tasks?","acceptedA
891nswer":{"@type":"Answer","text":"If you've already used terminal or IDE-based tools like Claude Code or Cursor to carry out product management tasks, then you'll have a taste for what's possible when you have an agent that can tap into additional context to produce more tailored outputs. Productboard Spark offers the most popular capabilities of agentic harnesses employed by product managers, but does so in a collaborative environment, and without the maintenance headaches: Built for collaboration: Spark is built for many colleagues and agents collaborating on the same documents and product data in real-time. Persistent context: Spark knows your product from day one. DIY agent context is scattered across markdown files on your harddrive, GitHub repos, and systems that drift over time. Guided workflows: Spark ships purpose-built workflows for product work. With a DIY agent, you develop and maintain every workflow yourself. Dependable outputs: Every Spark output is traceable to its source. DIY agents often lack source tracing, and hallucination risk grows at scale. Org knowledge: Knowledge in Spark compounds continuously, growing from one initiative to the next. For DIY agents, it departs with the PMs who built it. Above all, Productboard Spark gets you to value in hours, not weeks or months, with a dedicated system that frees you to focus on your own product â not AI infrastructure administration."}},{"@type":"Question","name":"What data sources does Spark connect to? Does Spark support MCP?","acceptedA
891nswer":{"@type":"Answer","text":"Productboard's agentic product system supports a wide variety of integrations for centralizing feedback, segmenting customers, collaborating with colleagues, and pushing prioritized features into delivery. Productboard's customer feedback engine categorizes trends \u0026 findings (from Zendesk, Gong, Fin, Slack, G2...) that Spark surfaces as new opportunities, and employs when replying to queries about customer needs. Spark is also able to enrich opportunities it identifies with customer data synced from Salesforce. Spark's deep product knowledge is based in part on codebase analysis enabled by a GitHub integration, as well as indexing of public product documentation and help articles. Spark also supports MCP connectors, allowing you to connect to solutions with MCP servers â including Amplitude, Pendo, Hex, Linear, Notion and more. Product teams can query product analytics, retrieve documentation, update tasks, and sync insights across tools by way of natural language prompts. When submitting a prompt to Spark, you can easily load in context from specific documents in connected systems like Confluence, Notion, and Google Drive. Spark ingests additional publicly available data â such as competitor pricing pages, product reviews, and feature announcements, for competitive intelligence â with no connected data sources required."}},{"@type":"Question","name":"What models are used to power Productboard Spark?","acceptedA
891nswer":{"@type":"Answer","text":"Spark is powered by large language models from Anthropic and OpenAI for natural language processing and reasoning. Productboard's AI infrastructure also includes Google Vertex AI. For more information, please review Productboardâs list of subprocessors."}},{"@type":"Question","name":"What data does Spark use? Is it used to train AI models?","acceptedAnswer":{"@type":"Answer","text":"Your data is not used to train or improve external AI models. Spark accesses your workspace documents, customer feedback, product data, connected integrations, and associated data to generate context-aware responses. Workspace documents â product strategy, product briefs and specifications, product documentation, personas, pricing \u0026 packaging, competitor info, and any other documents in your workspace Customer feedback â all feedback in your workspace which may include feedback brought in by integrations, feedback forms, and submitted on Portals MCP Connectors â data from connected tools like Amplitude, Pendo, Hex, Linear, and Notion Context integrations â documents from Google Drive, Confluence, Notion, and uploaded PDFs, CSVs, and markdown files Publicly available information about your company, product, and competitors, gathered automatically when you first enable Spark in your workspace Product data in your workspace â including data associated with entities such as objectives and key results, initiatives, releases, products, components, features, and subfeatures For more information, see Productboard's AI Terms."}},{"@type":"Question","name":"How do I get started with Productboard Spark?","acceptedA
891nswer":{"@type":"Answer","text":"If you're new to Productboard, you can start by requesting a demo of Productboard (with Spark as built-in agent) and we'll give you an overview of how the product works. Existing Productboard customers have an accelerated path. The organizational memory you've already built in Productboard is the foundation Spark builds upon: An admin can enable Spark for your workspace. A built-in Spark skill guides admins through workspace configuration. Spark also onboards makers across the workspace when they first return to Productboard after Spark has been enabled. Connect additional integrations like GitHub for codebase analysis or enable indexing of your public product documentation. Spark will be able to apply deeper knowledge about your product to answer queries and author high quality product docs."}},{"@type":"Question","name":"How do I know I can trust Spark's outputs to inform important product decisions?","acceptedAnswer":{"@type":"Answer","text":"For many types of responses, Spark provides outputs that are traceable to underlying sources, such as internal documents, customer conversations, product data, or external resources. These are conveniently represented as citations for your review. That connection to the source is what gives you confidence when using Spark to power core product work. Spark was designed to guide, inform, and support execution on core product tasks. Nonetheless, it's the product makers who wield Spark that own the judgement calls, make the final decisions, and apply their product sense to deliver the right solutions."}},{"@type":"Question","name":"Is Productboard Spark a replacement for my development issue tracker like Jira or Linear?","acceptedA
891nswer":{"@type":"Answer","text":"No, Productboard (and its built-in agent, Spark) are for helping product teams decide what to build, how to build it, and whether it worked. It's an agentic product system that supports core product management work spanning market signals, customer feedback, product strategy, product discovery, product prioritization, release planning, roadmapping, and post-launch evaluation. It also supports the product operations that underly all of these core product processes. Prioritized product work in Productboard can be pushed into integrated delivery planning tools. Product specifications authored with Spark represent a source of truth for the solution being delivered. They can be accessed by coding agents like Claude Code, Codex, and Cursor using Productboard's MCP server."}}]}</script>
891<h2 class="sc-d626836c-0 cMUpSC sc-34c71fad-1 bbFwFw">Frequently Asked Questions</h2><dl><div role="button" data-event-label="Toggle: What is Productboard Spark?" class="sc-63cf71f5-1 PzExx"><div><dt class="sc-f231891c-0 gOnXOk">What is Productboard Spark?</dt><dd class="sc-63cf71f5-2 dpegEC"><div class="sc-4cebc972-0 EHhun builder-text"><p class="sc-f231891c-0 kCFnxQ">Productboard Spark is a specialized AI agent that knows your product, customers, and market. It's purpose-built for product makers, including product managers, product leaders, and other collaborators. And it comes built into Productboard's agentic product system â not as a separate solution or add-on.</p><p class="sc-f231891c-0 kCFnxQ">Spark connects to all your organization's product data in Productboard, your customer feedback, strategy documents, competitive intel, product documentation, and product codebase â then does the analytical work and information synthesis that previously consumed most of a product manager's week.</p><p class="sc-f231891c-0 kCFnxQ">If you're just getting started with Spark, you can look forward to putting it to use surfacing your highest-impact opportunities ranked by evidence, turning them into delivery-ready specifications through guided conversation, and measuring whether what you shipped actually drove impact.</p></div></dd></div><svg viewBox="0 0 24 24" aria-label="plus" class="sc-829600aa-0 fPNWuH sc-63cf71f5-0 kSqCyq"><use href="/icon/plus/#i"></use></svg></div><div role="button" data-event-label="Toggle: How is Spark different from ChatGPT, Claude, Gemini, or other general-purpose AI tools? 892" class="sc-63cf71f5-1 PzExx"><div><dt class="sc-f231891c-0 gOnXOk">How is Spark different from ChatGPT, Claude, Gemini, or other general-purpose AI tools? 893</dt><dd class="sc-63cf71f5-2 dpegEC"><div class="sc-4cebc972-0 EHhun builder-text"><p class="sc-f231891c-0 kCFnxQ">General-purpose AI tools give you general-purpose outputs. You can copy/paste context, upload files, and jump through hoops to get more tailored results, but the responses are still heavily reliant on generic patterns and publicly available information. They're not sound for guiding your product decisions, setting strategy, or formulating the solutions you'll build next.</p><p class="sc-f231891c-0 kCFnxQ">Productboard Spark provides benefits for product teams not available in generic AI solutions:</p><ul role="list" class="sc-c6ffcc11-0 gNDnqB"><li class=".sc-c6ffcc11-1"><svg viewBox="0 0 24 24" aria-label="rectangle" class="sc-829600aa-0 iLjxCz sc-c6ffcc11-2 hvuqdg"><use href="/icon/rectangle/#i"></use></svg><div><strong>Dependable outputs:</strong> Every Spark output is traceable to its source, with citations that take you to related feedback and documents. Generic AI produces plausible-sounding outputs, often disconnected from underlying sources and your organization's data.</div></li><li class=".sc-c6ffcc11-1"><svg viewBox="0 0 24 24" aria-label="rectangle" class="sc-829600aa-0 iLjxCz sc-c6ffcc11-2 hvuqdg"><use href="/icon/rectangle/#i"></use></svg><div><strong>Persistent context:</strong> Spark knows your product, customers, and market from day one, and that knowledge compounds over time. Generic AI requires re-uploading context to every new project or session.</div></li><li class=".sc-c6ffcc11-1"><svg viewBox="0 0 24 24" aria-label="rectangle" class="sc-829600aa-0 iLjxCz sc-c6ffcc11-2 hvuqdg"><use href="/icon/rectangle/#i"></use></svg><div><strong>Deep collaboration:</strong> Spark is multiplayer by default. Specs can be co-edited in real time by PM, designer, engineer, and Spark! Generic AI remains fundamentally single-player.</div></li><li class=".sc-c6ffcc11-1"><svg viewBox="0 0 24 24" aria-label="rectangle" class="sc-829600aa-0 iLjxCz sc-c6ffcc11-2 hvuqdg"><use href="/icon/rectangle/#i"></use></svg><div><strong>Guided workflows:</strong> Spark has PM best practices baked in â opportunity discovery, feedback analysis, spec authoring, and impact measurement. Spark is equipped to take you through guided workflows, or execute on complex product tasks, while always keeping you in the driver seat. With generic AI you always start from a blank prompt window.</div></li><li class=".sc-c6ffcc11-1"><svg viewBox="0 0 24 24" aria-label="rectangle" class="sc-829600aa-0 iLjxCz sc-c6ffcc11-2 hvuqdg"><use href="/icon/rectangle/#i"></use></svg><div><strong>Org knowledge:</strong> Knowledge in Spark compounds at the organization level and survives every personnel change. In generic AI, it lives in individuals' chat histories.</div></li></ul></div></dd></div><svg viewBox="0 0 24 24" aria-label="plus" class="sc-829600aa-0 fPNWuH sc-63cf71f5-0 kSqCyq"><use href="/icon/plus/#i"></use></svg></div><div role="button" data-event-label="Toggle: How is Spark different from using Claude Code or
893Cursor for product management tasks?" class="sc-63cf71f5-1 PzExx"><div><dt class="sc-f231891c-0 gOnXOk">How is Spark different from using Claude Code or Cursor for product management tasks?</dt><dd class="sc-63cf71f5-2 dpegEC"><div class="sc-4cebc972-0 EHhun builder-text"><p class="sc-f231891c-0 kCFnxQ">If you've already used terminal or IDE-based tools like Claude Code or Cursor to carry out product management tasks, then you'll have a taste for what's possible when you have an agent that can tap into additional context to produce more tailored outputs.</p><p class="sc-f231891c-0 kCFnxQ">Productboard Spark offers the most popular capabilities of agentic harnesses employed by product managers, but does so in a collaborative environment, and without the maintenance headaches:</p><ul role="list" class="sc-c6ffcc11-0 gNDnqB"><li class=".sc-c6ffcc11-1"><svg viewBox="0 0 24 24" aria-label="rectangle" class="sc-829600aa-0 iLjxCz sc-c6ffcc11-2 hvuqdg"><use href="/icon/rectangle/#i"></use></svg><div><strong>Built for collaboration:</strong> Spark is built for many colleagues and agents collaborating on the same documents and product data in real-time.</div></li><li class=".sc-c6ffcc11-1"><svg viewBox="0 0 24 24" aria-label="rectangle" class="sc-829600aa-0 iLjxCz sc-c6ffcc11-2 hvuqdg"><use href="/icon/rectangle/#i"></use></svg><div><strong>Persistent context:</strong> Spark knows your product from day one. DIY agent context is scattered across markdown files on your harddrive, GitHub repos, and systems that drift over time.</div></li><li class=".sc-c6ffcc11-1"><svg viewBox="0 0 24 24" aria-label="rectangle" class="sc-829600aa-0 iLjxCz sc-c6ffcc11-2 hvuqdg"><use href="/icon/rectangle/#i"></use></svg><div><strong>Guided workflows:</strong> Spark ships purpose-built workflows for product work. With a DIY agent, you develop and maintain every workflow yourself.</div></li><li class=".sc-c6ffcc11-1"><svg viewBox="0 0 24 24" aria-label="rectangle" class="sc-829600aa-0 iLjxCz sc-c6ffcc11-2 hvuqdg"><use href="/icon/rectangle/#i"></use></svg><div><strong>Dependable outputs:</strong> Every Spark output is traceable to its source. DIY agents often lack source tracing, and hallucination risk grows at scale.</div></li><li class=".sc-c6ffcc11-1"><svg viewBox="0 0 24 24" aria-label="rectangle" class="sc-829600aa-0 iLjxCz sc-c6ffcc11-2 hvuqdg"><use href="/icon/rectangle/#i"></use></svg><div><strong>Org knowledge:</strong> Knowledge in Spark compounds continuously, growing from one initiative to the next. For DIY agents, it departs with the PMs who built it.</div></li></ul><p class="sc-f231891c-0 kCFnxQ">Above all, Productboard Spark gets you to value in hours, not weeks or months, with a dedicated system that frees you to focus on your own product â not AI infrastructure administration.</p></div></dd></div><svg viewBox="0 0 24 24" aria-label="plus" class="sc-829600aa-0 fPNWuH sc-63cf71f5-0 kSqCyq"><use href="/icon/plus/#i"></use></svg></div><div role="button" data-event-label="Toggle: What data sources does Spark connect to? Does Spark support MCP?" class="sc-63cf71f5-1 PzExx"><div><dt class="sc-f231891c-0 gOnXOk">What data sources does Spark connect to? Does Spark support MCP?</dt><dd class="sc-63cf71f5-2 dpegEC"><div class="sc-4cebc972-0 EHhun builder-text"><p class="sc-f231891c-0 kCFnxQ">Productboard's agentic product system supports a <a aria-disabled="false" tabindex="1" class="sc-5ab85e98-0 fLUsUm" href="https://www.productboard.com/platform/integrations/"><span class="sc-f231891c-0 kiGkwt sc-5ab85e98-1 jRbLPi">wide variety of integrations</span></a> for centralizing feedback, segmenting customers, collaborating with colleagues, and pushing prioritized features into delivery.</p><p class="sc-f231891c-0 kCFnxQ">Productboard's customer feedback engine categorizes trends & findings (from Zendesk, Gong, Fin, Slack, G2...) that Spark surfaces as new opportunities, and employs when replying to queries about customer needs.</p><p class="sc-f231891c-0 kCFnxQ">Spark is also able to enrich opportunities it identifies with customer data synced from Salesforce.</p><p class="sc-f231891c-0 kCFnxQ">Spark's deep product knowledge is based in part on codebase analysis enabled by a GitHub integration, as well as indexing of public product documentation and help articles.</p><p class="sc-f231891c-0 kCFnxQ">Spark also supports MCP connectors, allowing you to connect to solutions with MCP servers â including Amplitude, Pendo, Hex, Linear, Notion and more. Product teams can query product analytics, retrieve documentation, update tasks, and sync insights across tools by way of natural language prompts.</p><p class="sc-f231891c-0 kCFnxQ">When submitting a prompt to Spark, you can easily load in context from specific documents in connected systems like Confluence, Notion, and Google Drive.</p><p class="sc-f231891c-0 kCFnxQ">Spark ingests additional publicly available data â such as competitor pricing pages, product reviews, and feature announcements, for competitive intelligence â with no connected data sources required.</p></div></dd></div><svg viewBox="0 0 24 24" aria-label="plus" class="sc-829600aa-0 fPNWuH sc-63cf71f5-0 kSqCyq"><use href="/icon/plus/#i"></use></svg></div><div role="button" data-event-label="Toggle: What models are used to power Productboard Spark?" class="sc-63cf71f5-1 PzExx"><div><dt class="sc-f231891c-0 gOnXOk">What models are used to power Productboard Spark?</dt><dd class="sc-63cf71f5-2 dpegEC"><div class="sc-4cebc972-0 EHhun builder-text"><p class="sc-f231891c-0 kCFnxQ">Spark is powered by large language models from Anthropic and OpenAI for natural language processing and reasoning. Productboard'
893s AI infrastructure also includes Google Vertex AI.</p><p class="sc-f231891c-0 kCFnxQ">For more information, please review Productboardâs <a aria-disabled="false" tabindex="1" class="sc-5ab85e98-0 fLUsUm" href="https://www.productboard.com/subprocessors/"><span class="sc-f231891c-0 kiGkwt sc-5ab85e98-1 jRbLPi">list of subprocessors</span></a>.</p></div></dd></div><svg viewBox="0 0 24 24" aria-label="plus" class="sc-829600aa-0 fPNWuH sc-63cf71f5-0 kSqCyq"><use href="/icon/plus/#i"></use></svg></div><div role="button" data-event-label="Toggle: What data does Spark use? Is it used to train AI models?" class="sc-63cf71f5-1 PzExx"><div><dt class="sc-f231891c-0 gOnXOk">What data does Spark use? Is it used to train AI models?</dt><dd class="sc-63cf71f5-2 dpegEC"><div class="sc-4cebc972-0 EHhun builder-text"><p class="sc-f231891c-0 kCFnxQ">Your data is not used to train or improve external AI models.</p><p class="sc-f231891c-0 kCFnxQ">Spark accesses your workspace documents, customer feedback, product data, connected integrations, and associated data to generate context-aware responses.</p><ul role="list" class="sc-c6ffcc11-0 gNDnqB"><li class=".sc-c6ffcc11-1"><svg viewBox="0 0 24 24" aria-label="rectangle" class="sc-829600aa-0 iLjxCz sc-c6ffcc11-2 hvuqdg"><use href="/icon/rectangle/#i"></use></svg><span class="sc-f231891c-0 kCFnxQ">Workspace documents â product strategy, product briefs and specifications, product documentation, personas, pricing & packaging, competitor info, and any other documents in your workspace</span></li><li class=".sc-c6ffcc11-1"><svg viewBox="0 0 24 24" aria-label="rectangle" class="sc-829600aa-0 iLjxCz sc-c6ffcc11-2 hvuqdg"><use href="/icon/rectangle/#i"></use></svg><span class="sc-f231891c-0 kCFnxQ">Customer feedback â all feedback in your workspace which may include feedback brought in by integrations, feedback forms, and submitted on Portals</span></li><li class=".sc-c6ffcc11-1"><svg viewBox="0 0 24 24" aria-label="rectangle" class="sc-829600aa-0 iLjxCz sc-c6ffcc11-2 hvuqdg"><use href="/icon/rectangle/#i"></use></svg><span class="sc-f231891c-0 kCFnxQ">MCP Connectors â data from connected tools like Amplitude, Pendo, Hex, Linear, and Notion</span></li><li class=".sc-c6ffcc11-1"><svg viewBox="0 0 24 24" aria-label="rectangle" class="sc-829600aa-0 iLjxCz sc-c6ffcc11-2 hvuqdg"><use href="/icon/rectangle/#i"></use></svg><span class="sc-f231891c-0 kCFnxQ">Context integrations â documents from Google Drive, Confluence, Notion, and uploaded PDFs, CSVs, and markdown files</span></li><li class=".sc-c6ffcc11-1"><svg viewBox="0 0 24 24" aria-label="rectangle" class="sc-829600aa-0 iLjxCz sc-c6ffcc11-2 hvuqdg"><use href="/icon/rectangle/#i"></use></svg><span class="sc-f231891c-0 kCFnxQ">Publicly available information about your company, product, and competitors, gathered automatically when you first enable Spark in your workspace</span></li><li class=".sc-c6ffcc11-1"><svg viewBox="0 0 24 24" aria-label="rectangle" class="sc-829600aa-0 iLjxCz sc-c6ffcc11-2 hvuqdg"><use href="/icon/rectangle/#i"></use></svg><span class="sc-f231891c-0 kCFnxQ">Product data in your workspace â including data associated with entities such as objectives and key results, initiatives, releases, products, components, features, and subfeatures</span></li></ul><p class="sc-f231891c-0 kCFnxQ">For more information, see Productboard's <a aria-disabled="false" tabindex="1" class="sc-5ab85e98-0 fLUsUm" href="https://www.productboard.com/legal/productboard-ai-terms/"><span class="sc-f231891c-0 kiGkwt sc-5ab85e98-1 jRbLPi">AI Terms</span></a>.</p></div></dd></div><svg viewBox="0 0 24 24" aria-label="plus" class="sc-829600aa-0 fPNWuH sc-63cf71f5-0 kSqCyq"><use href="/icon/plus/#i"></use></svg></div><div role="button" data-event-label="Toggle: How do I get started with Productboard Spark?" class="sc-63cf71f5-1 PzExx"><div><dt class="sc-f231891c-0 gOnXOk">How do I get started with Productboard Spark?</dt><dd class="sc-63cf71f5-2 dpegEC"><div class="sc-4cebc972-0 EHhun builder-text"><p class="sc-f231891c-0 kCFnxQ">If you're new to Productboard, you can start by requesting a demo of Productboard (with Spark as built-in agent) and we'll give you an overview of how the product works.</p><p class="sc-f231891c-0 kCFnxQ">Existing Productboard customers have an accelerated path. The organizational memory you've already built in Productboard is the foundation Spark builds upon:</p><ul role="list" class="sc-c6ffcc11-0 gNDnqB"><li class=".sc-c6ffcc11-1"><svg viewBox="0 0 24 24" aria-label="rectangle" class="sc-829600aa-0 iLjxCz sc-c6ffcc11-2 hvuqdg"><use href="/icon/rectangle/#i"></use></svg><span class="sc-f231891c-0 kCFnxQ">An admin can enable Spark for your workspace. A built-in Spark skill guides admins through workspace configuration.</span></li><li class=".sc-c6ffcc11-1"><svg viewBox="0 0 24 24" aria-label="rectangle" class="sc-829600aa-0 iLjxCz sc-c6ffcc11-2 hvuqdg"><use href="/icon/rectangle/#i"></use></svg><span class="sc-f231891c-0 kCFnxQ">Spark also onboards makers across the workspace when they first return to Productboard after Spark has been enabled.</span></li><li class=".sc-c6ffcc11-1"><svg viewBox="0 0 24 24" aria-label="rectangle" class="sc-829600aa-0 iLjxCz sc-c6ffcc11-2 hvuqdg"><use href="/icon/rectangle/#i"></use></svg><span class="sc-f231891c-0 kCFnxQ">Connect additional integrations like GitHub for codebase analysis or enable indexing of your public product documentation. Spark will be able to apply deeper knowledge about your product to answer queries and author high quality product docs.</span></li></ul></div></dd></div><svg viewBox="0 0 24 24" aria-label="plus" class="sc-829600aa-0 fPNWuH sc-63cf71f5-0 kSqCyq"><use href="/icon/plus/#i"></use></svg></div><div role="button" data-event-label="Toggle: How do I know I can trust Spark's outputs to inform important product decisions?" class="sc-63cf71f5-1 PzExx"><div><dt class="sc-f231891c-0 gOnXOk">
893How do I know I can trust Spark's outputs to inform important product decisions?</dt><dd class="sc-63cf71f5-2 dpegEC"><div class="sc-4cebc972-0 EHhun builder-text"><p class="sc-f231891c-0 kCFnxQ">For many types of responses, Spark provides outputs that are traceable to underlying sources, such as internal documents, customer conversations, product data, or external resources. These are conveniently represented as citations for your review. That connection to the source is what gives you confidence when using Spark to power core product work.</p><p class="sc-f231891c-0 kCFnxQ">Spark was designed to guide, inform, and support execution on core product tasks. Nonetheless, it's the product makers who wield Spark that own the judgement calls, make the final decisions, and apply their product sense to deliver the right solutions.</p></div></dd></div><svg viewBox="0 0 24 24" aria-label="plus" class="sc-829600aa-0 fPNWuH sc-63cf71f5-0 kSqCyq"><use href="/icon/plus/#i"></use></svg></div><div role="button" data-event-label="Toggle: Is Productboard Spark a replacement for my development issue tracker like Jira or Linear?" class="sc-63cf71f5-1 PzExx"><div><dt class="sc-f231891c-0 gOnXOk">Is Productboard Spark a replacement for my development issue tracker like Jira or Linear?</dt><dd class="sc-63cf71f5-2 dpegEC"><div class="sc-4cebc972-0 EHhun builder-text"><p class="sc-f231891c-0 kCFnxQ">No, Productboard (and its built-in agent, Spark) are for helping product teams decide what to build, how to build it, and whether it worked.</p><p class="sc-f231891c-0 kCFnxQ">It's an agentic product system that supports core product management work spanning market signals, customer feedback, product strategy, product discovery, product prioritization, release planning, roadmapping, and post-launch evaluation. It also supports the product operations that underly all of these core product processes.</p><p class="sc-f231891c-0 kCFnxQ">Prioritized product work in Productboard can be pushed into integrated delivery planning tools.</p><p class="sc-f231891c-0 kCFnxQ">Product specifications authored with Spark represent a source of truth for the solution being delivered. They can be accessed by coding agents like Claude Code, Codex, and Cursor using Productboard's MCP server.</p></div></dd></div><svg viewBox="0 0 24 24" aria-label="plus" class="sc-829600aa-0 fPNWuH sc-63cf71f5-0 kSqCyq"><use href="/icon/plus/#i"></use></svg></div></dl><p class="sc-f231891c-0 kCFnxQ sc-34c71fad-2 iYfKrn">Have additional questions? Send us an email at <a href="mailto:[email protected]"><span class="sc-f231891c-0 bjpBwv">[email protected]</span></a></p></div></section></div></template>
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893<script type="application/ld+json">{"@context":"https://schema.org","@type":"FAQPage","mainEntity":[{"@type":"Question","name":"What is Productboard Spark?","acceptedAnswer":{"@type":"Answer","text":"Productboard Spark is a specialized AI agent that knows your product, customers, and market. It's purpose-built for product makers, including product managers, product leaders, and other collaborators. And it comes built into Productboard's agentic product system â not as a separate solution or add-on. Spark connects to all your organization's product data in Productboard, your customer feedback, strategy documents, competitive intel, product documentation, and product codebase â then does the analytical work and information synthesis that previously consumed most of a product manager's week. If you're just getting started with Spark, you can look forward to putting it to use surfacing your highest-impact opportunities ranked by evidence, turning them into delivery-ready specifications through guided conversation, and measuring whether what you shipped actually drove impact."}},{"@type":"Question","name":"How is Spark different from ChatGPT, Claude, Gemini, or other general-purpose AI tools?\n","acceptedAnswer":{"@type":"Answer","text":"General-purpose AI tools give you general-purpose outputs. You can copy/paste context, upload files, and jump through hoops to get more tailored results, but the responses are still heavily reliant on generic patterns and publicly available information. They're not sound for guiding your product decisions, setting strategy, or formulating the solutions you'll build next. Productboard Spark provides benefits for product teams not available in generic AI solutions: Dependable outputs: Every Spark output is traceable to its source, with citations that take you to related feedback and documents. Generic AI produces plausible-sounding outputs, often disconnected from underlying sources and your organization's data. Persistent context: Spark knows your product, customers, and market from day one, and that knowledge compounds over time. Generic AI requires re-uploading context to every new project or session. Deep collaboration: Spark is multiplayer by default. Specs can be co-edited in real time by PM, designer, engineer, and Spark! Generic AI remains fundamentally single-player. Guided workflows: Spark has PM best practices baked in â opportunity discovery, feedback analysis, spec authoring, and impact measurement. Spark is equipped to take you through guided workflows, or execute on complex product tasks, while always keeping you in the driver seat. With generic AI you always start from a blank prompt window. Org knowledge: Knowledge in Spark compounds at the organization level and survives every personnel change. In generic AI, it lives in individuals' chat histories."}},{"@type":"Question","name":"How is Spark different from using Claude Code or Cursor for product management tasks?","acceptedA
893nswer":{"@type":"Answer","text":"If you've already used terminal or IDE-based tools like Claude Code or Cursor to carry out product management tasks, then you'll have a taste for what's possible when you have an agent that can tap into additional context to produce more tailored outputs. Productboard Spark offers the most popular capabilities of agentic harnesses employed by product managers, but does so in a collaborative environment, and without the maintenance headaches: Built for collaboration: Spark is built for many colleagues and agents collaborating on the same documents and product data in real-time. Persistent context: Spark knows your product from day one. DIY agent context is scattered across markdown files on your harddrive, GitHub repos, and systems that drift over time. Guided workflows: Spark ships purpose-built workflows for product work. With a DIY agent, you develop and maintain every workflow yourself. Dependable outputs: Every Spark output is traceable to its source. DIY agents often lack source tracing, and hallucination risk grows at scale. Org knowledge: Knowledge in Spark compounds continuously, growing from one initiative to the next. For DIY agents, it departs with the PMs who built it. Above all, Productboard Spark gets you to value in hours, not weeks or months, with a dedicated system that frees you to focus on your own product â not AI infrastructure administration."}},{"@type":"Question","name":"What data sources does Spark connect to? Does Spark support MCP?","acceptedA
893nswer":{"@type":"Answer","text":"Productboard's agentic product system supports a wide variety of integrations for centralizing feedback, segmenting customers, collaborating with colleagues, and pushing prioritized features into delivery. Productboard's customer feedback engine categorizes trends \u0026 findings (from Zendesk, Gong, Fin, Slack, G2...) that Spark surfaces as new opportunities, and employs when replying to queries about customer needs. Spark is also able to enrich opportunities it identifies with customer data synced from Salesforce. Spark's deep product knowledge is based in part on codebase analysis enabled by a GitHub integration, as well as indexing of public product documentation and help articles. Spark also supports MCP connectors, allowing you to connect to solutions with MCP servers â including Amplitude, Pendo, Hex, Linear, Notion and more. Product teams can query product analytics, retrieve documentation, update tasks, and sync insights across tools by way of natural language prompts. When submitting a prompt to Spark, you can easily load in context from specific documents in connected systems like Confluence, Notion, and Google Drive. Spark ingests additional publicly available data â such as competitor pricing pages, product reviews, and feature announcements, for competitive intelligence â with no connected data sources required."}},{"@type":"Question","name":"What models are used to power Productboard Spark?","acceptedA
893nswer":{"@type":"Answer","text":"Spark is powered by large language models from Anthropic and OpenAI for natural language processing and reasoning. Productboard's AI infrastructure also includes Google Vertex AI. For more information, please review Productboardâs list of subprocessors."}},{"@type":"Question","name":"What data does Spark use? Is it used to train AI models?","acceptedAnswer":{"@type":"Answer","text":"Your data is not used to train or improve external AI models. Spark accesses your workspace documents, customer feedback, product data, connected integrations, and associated data to generate context-aware responses. Workspace documents â product strategy, product briefs and specifications, product documentation, personas, pricing \u0026 packaging, competitor info, and any other documents in your workspace Customer feedback â all feedback in your workspace which may include feedback brought in by integrations, feedback forms, and submitted on Portals MCP Connectors â data from connected tools like Amplitude, Pendo, Hex, Linear, and Notion Context integrations â documents from Google Drive, Confluence, Notion, and uploaded PDFs, CSVs, and markdown files Publicly available information about your company, product, and competitors, gathered automatically when you first enable Spark in your workspace Product data in your workspace â including data associated with entities such as objectives and key results, initiatives, releases, products, components, features, and subfeatures For more information, see Productboard's AI Terms."}},{"@type":"Question","name":"How do I get started with Productboard Spark?","acceptedA
893nswer":{"@type":"Answer","text":"If you're new to Productboard, you can start a trial of Productboard (with Spark as built-in agent) which includes a defined number of Spark credits: When you first get started, Spark draws upon publicly available information about your product and business to give you a head start in defining the canonical knowledge Spark will use moving forwards. You can continue to refine this information with help from colleagues, and from Spark. Once you have some context in the system, some core product data added (like objectives, initiatives, or feature ideas), and feedback imported from other tools, you can expect to immediately begin getting value from Spark. No weeks of defining taxonomies or data hygiene just to get started. Existing Productboard customers have an accelerated path. The organizational memory you've already built in Productboard is the foundation Spark builds upon: An admin can enable Spark for your workspace. A built-in Spark skill guides admins through workspace configuration. Spark also onboards makers across the workspace when they first return to Productboard after Spark has been enabled. Connect additional integrations like GitHub for codebase analysis or enable indexing of your public product documentation. Spark will be able to apply deeper knowledge about your product to answer queries and author high quality product docs."}},{"@type":"Question","name":"How do I know I can trust Spark's outputs to inform important product decisions?","acceptedA
893nswer":{"@type":"Answer","text":"For many types of responses, Spark provides outputs that are traceable to underlying sources, such as internal documents, customer conversations, product data, or external resources. These are conveniently represented as citations for your review. That connection to the source is what gives you confidence when using Spark to power core product work. Spark was designed to guide, inform, and support execution on core product tasks. Nonetheless, it's the product makers who wield Spark that own the judgement calls, make the final decisions, and apply their product sense to deliver the right solutions."}},{"@type":"Question","name":"Is Productboard Spark a replacement for my development issue tracker like Jira or Linear?","acceptedAnswer":{"@type":"Answer","text":"No, Productboard (and its built-in agent, Spark) are for helping product teams decide what to build, how to build it, and whether it worked. It's an agentic product system that supports core product management work spanning market signals, customer feedback, product strategy, product discovery, product prioritization, release planning, roadmapping, and post-launch evaluation. It also supports the product operations that underly all of these core product processes. Prioritized product work in Productboard can be pushed into integrated delivery planning tools. Product specifications authored with Spark represent a source of truth for the solution being delivered. They can be accessed by coding agents like Claude Code, Codex, and Cursor using Productboard's MCP server."}}]}</script>
893<h2 class="sc-d626836c-0 cMUpSC sc-34c71fad-1 bbFwFw">Frequently Asked Questions</h2><dl><div role="button" data-event-label="Toggle: What is Productboard Spark?" class="sc-63cf71f5-1 PzExx"><div><dt class="sc-f231891c-0 gOnXOk">What is Productboard Spark?</dt><dd class="sc-63cf71f5-2 dpegEC"><div class="sc-4cebc972-0 EHhun builder-text"><p class="sc-f231891c-0 kCFnxQ">Productboard Spark is a specialized AI agent that knows your product, customers, and market. It's purpose-built for product makers, including product managers, product leaders, and other collaborators. And it comes built into Productboard's agentic product system â not as a separate solution or add-on.</p><p class="sc-f231891c-0 kCFnxQ">Spark connects to all your organization's product data in Productboard, your customer feedback, strategy documents, competitive intel, product documentation, and product codebase â then does the analytical work and information synthesis that previously consumed most of a product manager's week.</p><p class="sc-f231891c-0 kCFnxQ">If you're just getting started with Spark, you can look forward to putting it to use surfacing your highest-impact opportunities ranked by evidence, turning them into delivery-ready specifications through guided conversation, and measuring whether what you shipped actually drove impact.</p></div></dd></div><svg viewBox="0 0 24 24" aria-label="plus" class="sc-829600aa-0 fPNWuH sc-63cf71f5-0 kSqCyq"><use href="/icon/plus/#i"></use></svg></div><div role="button" data-event-label="Toggle: How is Spark different from ChatGPT, Claude, Gemini, or other general-purpose AI tools? 894" class="sc-63cf71f5-1 PzExx"><div><dt class="sc-f231891c-0 gOnXOk">How is Spark different from ChatGPT, Claude, Gemini, or other general-purpose AI tools? 895</dt><dd class="sc-63cf71f5-2 dpegEC"><div class="sc-4cebc972-0 EHhun builder-text"><p class="sc-f231891c-0 kCFnxQ">General-purpose AI tools give you general-purpose outputs. You can copy/paste context, upload files, and jump through hoops to get more tailored results, but the responses are still heavily reliant on generic patterns and publicly available information. They're not sound for guiding your product decisions, setting strategy, or formulating the solutions you'll build next.</p><p class="sc-f231891c-0 kCFnxQ">Productboard Spark provides benefits for product teams not available in generic AI solutions:</p><ul role="list" class="sc-c6ffcc11-0 gNDnqB"><li class=".sc-c6ffcc11-1"><svg viewBox="0 0 24 24" aria-label="rectangle" class="sc-829600aa-0 iLjxCz sc-c6ffcc11-2 hvuqdg"><use href="/icon/rectangle/#i"></use></svg><div><strong>Dependable outputs:</strong> Every Spark output is traceable to its source, with citations that take you to related feedback and documents. Generic AI produces plausible-sounding outputs, often disconnected from underlying sources and your organization's data.</div></li><li class=".sc-c6ffcc11-1"><svg viewBox="0 0 24 24" aria-label="rectangle" class="sc-829600aa-0 iLjxCz sc-c6ffcc11-2 hvuqdg"><use href="/icon/rectangle/#i"></use></svg><div><strong>Persistent context:</strong> Spark knows your product, customers, and market from day one, and that knowledge compounds over time. Generic AI requires re-uploading context to every new project or session.</div></li><li class=".sc-c6ffcc11-1"><svg viewBox="0 0 24 24" aria-label="rectangle" class="sc-829600aa-0 iLjxCz sc-c6ffcc11-2 hvuqdg"><use href="/icon/rectangle/#i"></use></svg><div><strong>Deep collaboration:</strong> Spark is multiplayer by default. Specs can be co-edited in real time by PM, designer, engineer, and Spark! Generic AI remains fundamentally single-player.</div></li><li class=".sc-c6ffcc11-1"><svg viewBox="0 0 24 24" aria-label="rectangle" class="sc-829600aa-0 iLjxCz sc-c6ffcc11-2 hvuqdg"><use href="/icon/rectangle/#i"></use></svg><div><strong>Guided workflows:</strong> Spark has PM best practices baked in â opportunity discovery, feedback analysis, spec authoring, and impact measurement. Spark is equipped to take you through guided workflows, or execute on complex product tasks, while always keeping you in the driver seat. With generic AI you always start from a blank prompt window.</div></li><li class=".sc-c6ffcc11-1"><svg viewBox="0 0 24 24" aria-label="rectangle" class="sc-829600aa-0 iLjxCz sc-c6ffcc11-2 hvuqdg"><use href="/icon/rectangle/#i"></use></svg><div><strong>Org knowledge:</strong> Knowledge in Spark compounds at the organization level and survives every personnel change. In generic AI, it lives in individuals' chat histories.</div></li></ul></div></dd></div><svg viewBox="0 0 24 24" aria-label="plus" class="sc-829600aa-0 fPNWuH sc-63cf71f5-0 kSqCyq"><use href="/icon/plus/#i"></use></svg></div><div role="button" data-event-label="Toggle: How is Spark different from using Claude Code or
895Cursor for product management tasks?" class="sc-63cf71f5-1 PzExx"><div><dt class="sc-f231891c-0 gOnXOk">How is Spark different from using Claude Code or Cursor for product management tasks?</dt><dd class="sc-63cf71f5-2 dpegEC"><div class="sc-4cebc972-0 EHhun builder-text"><p class="sc-f231891c-0 kCFnxQ">If you've already used terminal or IDE-based tools like Claude Code or Cursor to carry out product management tasks, then you'll have a taste for what's possible when you have an agent that can tap into additional context to produce more tailored outputs.</p><p class="sc-f231891c-0 kCFnxQ">Productboard Spark offers the most popular capabilities of agentic harnesses employed by product managers, but does so in a collaborative environment, and without the maintenance headaches:</p><ul role="list" class="sc-c6ffcc11-0 gNDnqB"><li class=".sc-c6ffcc11-1"><svg viewBox="0 0 24 24" aria-label="rectangle" class="sc-829600aa-0 iLjxCz sc-c6ffcc11-2 hvuqdg"><use href="/icon/rectangle/#i"></use></svg><div><strong>Built for collaboration:</strong> Spark is built for many colleagues and agents collaborating on the same documents and product data in real-time.</div></li><li class=".sc-c6ffcc11-1"><svg viewBox="0 0 24 24" aria-label="rectangle" class="sc-829600aa-0 iLjxCz sc-c6ffcc11-2 hvuqdg"><use href="/icon/rectangle/#i"></use></svg><div><strong>Persistent context:</strong> Spark knows your product from day one. DIY agent context is scattered across markdown files on your harddrive, GitHub repos, and systems that drift over time.</div></li><li class=".sc-c6ffcc11-1"><svg viewBox="0 0 24 24" aria-label="rectangle" class="sc-829600aa-0 iLjxCz sc-c6ffcc11-2 hvuqdg"><use href="/icon/rectangle/#i"></use></svg><div><strong>Guided workflows:</strong> Spark ships purpose-built workflows for product work. With a DIY agent, you develop and maintain every workflow yourself.</div></li><li class=".sc-c6ffcc11-1"><svg viewBox="0 0 24 24" aria-label="rectangle" class="sc-829600aa-0 iLjxCz sc-c6ffcc11-2 hvuqdg"><use href="/icon/rectangle/#i"></use></svg><div><strong>Dependable outputs:</strong> Every Spark output is traceable to its source. DIY agents often lack source tracing, and hallucination risk grows at scale.</div></li><li class=".sc-c6ffcc11-1"><svg viewBox="0 0 24 24" aria-label="rectangle" class="sc-829600aa-0 iLjxCz sc-c6ffcc11-2 hvuqdg"><use href="/icon/rectangle/#i"></use></svg><div><strong>Org knowledge:</strong> Knowledge in Spark compounds continuously, growing from one initiative to the next. For DIY agents, it departs with the PMs who built it.</div></li></ul><p class="sc-f231891c-0 kCFnxQ">Above all, Productboard Spark gets you to value in hours, not weeks or months, with a dedicated system that frees you to focus on your own product â not AI infrastructure administration.</p></div></dd></div><svg viewBox="0 0 24 24" aria-label="plus" class="sc-829600aa-0 fPNWuH sc-63cf71f5-0 kSqCyq"><use href="/icon/plus/#i"></use></svg></div><div role="button" data-event-label="Toggle: What data sources does Spark connect to? Does Spark support MCP?" class="sc-63cf71f5-1 PzExx"><div><dt class="sc-f231891c-0 gOnXOk">What data sources does Spark connect to? Does Spark support MCP?</dt><dd class="sc-63cf71f5-2 dpegEC"><div class="sc-4cebc972-0 EHhun builder-text"><p class="sc-f231891c-0 kCFnxQ">Productboard's agentic product system supports a <a aria-disabled="false" tabindex="1" class="sc-5ab85e98-0 fLUsUm" href="https://www.productboard.com/platform/integrations/"><span class="sc-f231891c-0 kiGkwt sc-5ab85e98-1 jRbLPi">wide variety of integrations</span></a> for centralizing feedback, segmenting customers, collaborating with colleagues, and pushing prioritized features into delivery.</p><p class="sc-f231891c-0 kCFnxQ">Productboard's customer feedback engine categorizes trends & findings (from Zendesk, Gong, Fin, Slack, G2...) that Spark surfaces as new opportunities, and employs when replying to queries about customer needs.</p><p class="sc-f231891c-0 kCFnxQ">Spark is also able to enrich opportunities it identifies with customer data synced from Salesforce.</p><p class="sc-f231891c-0 kCFnxQ">Spark's deep product knowledge is based in part on codebase analysis enabled by a GitHub integration, as well as indexing of public product documentation and help articles.</p><p class="sc-f231891c-0 kCFnxQ">Spark also supports MCP connectors, allowing you to connect to solutions with MCP servers â including Amplitude, Pendo, Hex, Linear, Notion and more. Product teams can query product analytics, retrieve documentation, update tasks, and sync insights across tools by way of natural language prompts.</p><p class="sc-f231891c-0 kCFnxQ">When submitting a prompt to Spark, you can easily load in context from specific documents in connected systems like Confluence, Notion, and Google Drive.</p><p class="sc-f231891c-0 kCFnxQ">Spark ingests additional publicly available data â such as competitor pricing pages, product reviews, and feature announcements, for competitive intelligence â with no connected data sources required.</p></div></dd></div><svg viewBox="0 0 24 24" aria-label="plus" class="sc-829600aa-0 fPNWuH sc-63cf71f5-0 kSqCyq"><use href="/icon/plus/#i"></use></svg></div><div role="button" data-event-label="Toggle: What models are used to power Productboard Spark?" class="sc-63cf71f5-1 PzExx"><div><dt class="sc-f231891c-0 gOnXOk">What models are used to power Productboard Spark?</dt><dd class="sc-63cf71f5-2 dpegEC"><div class="sc-4cebc972-0 EHhun builder-text"><p class="sc-f231891c-0 kCFnxQ">Spark is powered by large language models from Anthropic and OpenAI for natural language processing and reasoning. Productboard'
895s AI infrastructure also includes Google Vertex AI.</p><p class="sc-f231891c-0 kCFnxQ">For more information, please review Productboardâs <a aria-disabled="false" tabindex="1" class="sc-5ab85e98-0 fLUsUm" href="https://www.productboard.com/subprocessors/"><span class="sc-f231891c-0 kiGkwt sc-5ab85e98-1 jRbLPi">list of subprocessors</span></a>.</p></div></dd></div><svg viewBox="0 0 24 24" aria-label="plus" class="sc-829600aa-0 fPNWuH sc-63cf71f5-0 kSqCyq"><use href="/icon/plus/#i"></use></svg></div><div role="button" data-event-label="Toggle: What data does Spark use? Is it used to train AI models?" class="sc-63cf71f5-1 PzExx"><div><dt class="sc-f231891c-0 gOnXOk">What data does Spark use? Is it used to train AI models?</dt><dd class="sc-63cf71f5-2 dpegEC"><div class="sc-4cebc972-0 EHhun builder-text"><p class="sc-f231891c-0 kCFnxQ">Your data is not used to train or improve external AI models.</p><p class="sc-f231891c-0 kCFnxQ">Spark accesses your workspace documents, customer feedback, product data, connected integrations, and associated data to generate context-aware responses.</p><ul role="list" class="sc-c6ffcc11-0 gNDnqB"><li class=".sc-c6ffcc11-1"><svg viewBox="0 0 24 24" aria-label="rectangle" class="sc-829600aa-0 iLjxCz sc-c6ffcc11-2 hvuqdg"><use href="/icon/rectangle/#i"></use></svg><span class="sc-f231891c-0 kCFnxQ">Workspace documents â product strategy, product briefs and specifications, product documentation, personas, pricing & packaging, competitor info, and any other documents in your workspace</span></li><li class=".sc-c6ffcc11-1"><svg viewBox="0 0 24 24" aria-label="rectangle" class="sc-829600aa-0 iLjxCz sc-c6ffcc11-2 hvuqdg"><use href="/icon/rectangle/#i"></use></svg><span class="sc-f231891c-0 kCFnxQ">Customer feedback â all feedback in your workspace which may include feedback brought in by integrations, feedback forms, and submitted on Portals</span></li><li class=".sc-c6ffcc11-1"><svg viewBox="0 0 24 24" aria-label="rectangle" class="sc-829600aa-0 iLjxCz sc-c6ffcc11-2 hvuqdg"><use href="/icon/rectangle/#i"></use></svg><span class="sc-f231891c-0 kCFnxQ">MCP Connectors â data from connected tools like Amplitude, Pendo, Hex, Linear, and Notion</span></li><li class=".sc-c6ffcc11-1"><svg viewBox="0 0 24 24" aria-label="rectangle" class="sc-829600aa-0 iLjxCz sc-c6ffcc11-2 hvuqdg"><use href="/icon/rectangle/#i"></use></svg><span class="sc-f231891c-0 kCFnxQ">Context integrations â documents from Google Drive, Confluence, Notion, and uploaded PDFs, CSVs, and markdown files</span></li><li class=".sc-c6ffcc11-1"><svg viewBox="0 0 24 24" aria-label="rectangle" class="sc-829600aa-0 iLjxCz sc-c6ffcc11-2 hvuqdg"><use href="/icon/rectangle/#i"></use></svg><span class="sc-f231891c-0 kCFnxQ">Publicly available information about your company, product, and competitors, gathered automatically when you first enable Spark in your workspace</span></li><li class=".sc-c6ffcc11-1"><svg viewBox="0 0 24 24" aria-label="rectangle" class="sc-829600aa-0 iLjxCz sc-c6ffcc11-2 hvuqdg"><use href="/icon/rectangle/#i"></use></svg><span class="sc-f231891c-0 kCFnxQ">Product data in your workspace â including data associated with entities such as objectives and key results, initiatives, releases, products, components, features, and subfeatures</span></li></ul><p class="sc-f231891c-0 kCFnxQ">For more information, see Productboard's <a aria-disabled="false" tabindex="1" class="sc-5ab85e98-0 fLUsUm" href="https://www.productboard.com/legal/productboard-ai-terms/"><span class="sc-f231891c-0 kiGkwt sc-5ab85e98-1 jRbLPi">AI Terms</span></a>.</p></div></dd></div><svg viewBox="0 0 24 24" aria-label="plus" class="sc-829600aa-0 fPNWuH sc-63cf71f5-0 kSqCyq"><use href="/icon/plus/#i"></use></svg></div><div role="button" data-event-label="Toggle: How do I get started with Productboard Spark?" class="sc-63cf71f5-1 PzExx"><div><dt class="sc-f231891c-0 gOnXOk">How do I get started with Productboard Spark?</dt><dd class="sc-63cf71f5-2 dpegEC"><div class="sc-4cebc972-0 EHhun builder-text"><p class="sc-f231891c-0 kCFnxQ">If you're new to Productboard, you can start a trial of Productboard (with Spark as built-in agent) which includes a defined number of Spark credits:</p><ul role="list" class="sc-c6ffcc11-0 gNDnqB"><li class=".sc-c6ffcc11-1"><svg viewBox="0 0 24 24" aria-label="rectangle" class="sc-829600aa-0 iLjxCz sc-c6ffcc11-2 hvuqdg"><use href="/icon/rectangle/#i"></use></svg><span class="sc-f231891c-0 kCFnxQ">When you first get started, Spark draws upon publicly available information about your product and business to give you a head start in defining the canonical knowledge Spark will use moving forwards. You can continue to refine this information with help from colleagues, and from Spark.</span></li><li class=".sc-c6ffcc11-1"><svg viewBox="0 0 24 24" aria-label="rectangle" class="sc-829600aa-0 iLjxCz sc-c6ffcc11-2 hvuqdg"><use href="/icon/rectangle/#i"></use></svg><span class="sc-f231891c-0 kCFnxQ">Once you have some context in the system, some core product data added (like objectives, initiatives, or feature ideas), and feedback imported from other tools, you can expect to immediately begin getting value from Spark. No weeks of defining taxonomies or data hygiene just to get started.</span></li></ul><p class="sc-f231891c-0 kCFnxQ">Existing Productboard customers have an accelerated path. The organizational memory you've already built in Productboard is the foundation Spark builds upon:</p><ul role="list" class="sc-c6ffcc11-0 gNDnqB"><li class=".sc-c6ffcc11-1"><svg viewBox="0 0 24 24" aria-label="rectangle" class="sc-829600aa-0 iLjxCz sc-c6ffcc11-2 hvuqdg"><use href="/icon/rectangle/#i"></use></svg><span class="sc-f231891c-0 kCFnxQ">An admin can enable Spark for your workspace. A built-in Spark skill guides admins through workspace configuration.</span></li><li class=".sc-c6ffcc11-1"><svg viewBox="0 0 24 24" aria-label="rectangle" class="sc-829600aa-0 iLjxCz sc-c6ffcc11-2 hvuqdg"><use href="/icon/rectangle/#i"></use></svg><span class="sc-f231891c-0 kCFnxQ">Spark also onboards makers across the workspace when they first return to Productboard after Spark has been enabled.</span></li><li class=".sc-c6ffcc11-1"><svg viewBox="0 0 24 24" aria-label="rectangle" class="sc-829600aa-0 iLjxCz sc-c6ffcc11-2 hvuqdg"><use href="/icon/rectangle/#i"></use></svg><span class="sc-f231891c-0 kCFnxQ">Connect additional integrations like GitHub for codebase analysis or enable indexing of your public product documentation. Spark will be able to apply deeper knowledge about your product to answer queries and author high quality product docs.</span></li></ul></div></dd></div><svg viewBox="0 0 24 24" aria-label="plus" class="sc-829600aa-0 fPNWuH sc-63cf71f5-0 kSqCyq"><use href="/icon/plus/#i"></use></svg></div><div role="button" data-event-label="Toggle: How do I know I can trust Spark's outputs to inform important product decisions?" class="sc-63cf71f5-1 PzExx"><div><dt class="sc-f231891c-0 gOnXOk">
895How do I know I can trust Spark's outputs to inform important product decisions?</dt><dd class="sc-63cf71f5-2 dpegEC"><div class="sc-4cebc972-0 EHhun builder-text"><p class="sc-f231891c-0 kCFnxQ">For many types of responses, Spark provides outputs that are traceable to underlying sources, such as internal documents, customer conversations, product data, or external resources. These are conveniently represented as citations for your review. That connection to the source is what gives you confidence when using Spark to power core product work.</p><p class="sc-f231891c-0 kCFnxQ">Spark was designed to guide, inform, and support execution on core product tasks. Nonetheless, it's the product makers who wield Spark that own the judgement calls, make the final decisions, and apply their product sense to deliver the right solutions.</p></div></dd></div><svg viewBox="0 0 24 24" aria-label="plus" class="sc-829600aa-0 fPNWuH sc-63cf71f5-0 kSqCyq"><use href="/icon/plus/#i"></use></svg></div><div role="button" data-event-label="Toggle: Is Productboard Spark a replacement for my development issue tracker like Jira or Linear?" class="sc-63cf71f5-1 PzExx"><div><dt class="sc-f231891c-0 gOnXOk">Is Productboard Spark a replacement for my development issue tracker like Jira or Linear?</dt><dd class="sc-63cf71f5-2 dpegEC"><div class="sc-4cebc972-0 EHhun builder-text"><p class="sc-f231891c-0 kCFnxQ">No, Productboard (and its built-in agent, Spark) are for helping product teams decide what to build, how to build it, and whether it worked.</p><p class="sc-f231891c-0 kCFnxQ">It's an agentic product system that supports core product management work spanning market signals, customer feedback, product strategy, product discovery, product prioritization, release planning, roadmapping, and post-launch evaluation. It also supports the product operations that underly all of these core product processes.</p><p class="sc-f231891c-0 kCFnxQ">Prioritized product work in Productboard can be pushed into integrated delivery planning tools.</p><p class="sc-f231891c-0 kCFnxQ">Product specifications authored with Spark represent a source of truth for the solution being delivered. They can be accessed by coding agents like Claude Code, Codex, and Cursor using Productboard's MCP server.</p></div></dd></div><svg viewBox="0 0 24 24" aria-label="plus" class="sc-829600aa-0 fPNWuH sc-63cf71f5-0 kSqCyq"><use href="/icon/plus/#i"></use></svg></div></dl><p class="sc-f231891c-0 kCFnxQ sc-34c71fad-2 iYfKrn">Have additional questions? Send us an email at <a href="mailto:[email protected]"><span class="sc-f231891c-0 bjpBwv">[email protected]</span></a></p></div></section></div></div>
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895<img src="https://cdn.builder.io/api/v1/pixel?apiKey=1d8ecee591ac4358befb8fe998100548" aria-hidden="true" alt="" width="0" height="0" class="builder-block builder-pixel-2oi6wdz2fv9 css-3l85lh" builder-id="builder-pixel-2oi6wdz2fv9"/></div></div></div></div><!--$--><!--/$--></div><div data-theme="light" class="sc-fa369b63-0 jdNsVZ"><nav class="sc-fa369b63-1 FZUsC"><div class="sc-fa369b63-2 hXGhiv"><div class="sc-9521a469-1 bspJDh"><h3 class="sc-f231891c-0 kYQUbg">Platform</h3><ul class="sc-9521a469-0 cbzWJk"><li class="sc-9521a469-2 kshRFX"><a aria-disabled="false" tabindex="1" aria-label="Productboard Spark" class="sc-5ab85e98-0 dSQQEq" href="/product/spark/"><span class="sc-f231891c-0 dzUHAU sc-5ab85e98-1 hKUBGv">Productboard Spark</span></a></li><li class="sc-9521a469-2 kshRFX"><a aria-disabled="false" tabindex="1" aria-label="Enterprise" class="sc-5ab85e98-0 dSQQEq" href="/enterprise/"><span class="sc-f231891c-0 dzUHAU sc-5ab85e98-1 hKUBGv">Enterprise</span></a></li><li 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895<script>self.__next_f.push([1,"\u003cp\u003eProductboard's agentic product system supports a \u003ca href=\"https://www.productboard.com/platform/integrations/\" rel=\"noopener noreferrer\" target=\"_blank\"\u003ewide variety of integrations\u003c/a\u003e for centralizing feedback, segmenting customers, collaborating with colleagues, and pushing prioritized features into delivery.\u003c/p\u003e\u003cp\u003eProductboard's customer feedback engine categorizes trends \u0026amp; findings (from Zendesk, Gong, Fin, Slack, G2...) that Spark surfaces as new opportunities, and employs when replying to queries about customer needs.\u003c/p\u003e\u003cp\u003eSpark is also able to enrich opportunities it identifies with customer data synced from Salesforce.\u003c/p\u003e\u003cp\u003eSpark's deep product knowledge is based in part on codebase analysis enabled by a GitHub integration, as well as indexing of public product documentation and help articles.\u003c/p\u003e\u003cp\u003eSpark also supports MCP connectors, allowing you to connect to solutions with MCP servers â including Amplitude, Pendo, Hex, Linear, Notion and more. Product teams can query product analytics, retrieve documentation, update tasks, and sync insights across tools by way of natural language prompts.\u003c/p\u003e\u003cp\u003eWhen submitting a prompt to Spark, you can easily load in context from specific documents in connected systems like Confluence, Notion, and Google Drive.\u003c/p\u003e\u003cp\u003eSpark ingests additional publicly available data â such as competitor pricing pages, product reviews, and feature announcements, for competitive intelligence â with no connected data sources required.\u003c/p\u003e"])</script>
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895<script>self.__next_f.push([1,"\u003cp\u003eYour data is not used to train or improve external AI models.\u003c/p\u003e\u003cp\u003eSpark accesses your workspace documents, customer feedback, product data, connected integrations, and associated data to generate context-aware responses.\u003c/p\u003e\u003cul\u003e\u003cli\u003eWorkspace documents â product strategy, product briefs and specifications, product documentation, personas, pricing \u0026amp; packaging, competitor info, and any other documents in your workspace\u003c/li\u003e\u003cli\u003eCustomer feedback â all feedback in your workspace which may include feedback brought in by integrations, feedback forms, and submitted on Portals\u003c/li\u003e\u003cli\u003eMCP Connectors â data from connected tools like Amplitude, Pendo, Hex, Linear, and Notion\u003c/li\u003e\u003cli\u003eContext integrations â documents from Google Drive, Confluence, Notion, and uploaded PDFs, CSVs, and markdown files\u003c/li\u003e\u003cli\u003ePublicly available information about your company, product, and competitors, gathered automatically when you first enable Spark in your workspace\u003c/li\u003e\u003cli\u003eProduct data in your workspace â including data associated with entities such as objectives and key results, initiatives, releases, products, components, features, and subfeatures\u003c/li\u003e\u003c/ul\u003e\u003cp\u003eFor more information, see Productboard's \u003ca href=\"https://www.productboard.com/legal/productboard-ai-terms/\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eAI Terms\u003c/a\u003e.\u003c/p\u003e"])</script>
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895<script>self.__next_f.push([1,"\u003cp\u003eGeneral-purpose AI tools give you general-purpose outputs. You can copy/paste context, upload files, and jump through hoops to get more tailored results, but the responses are still heavily reliant on generic patterns and publicly available information. They're not sound for guiding your product decisions, setting strategy, or formulating the solutions you'll build next.\u003c/p\u003e\u003cp\u003eProductboard Spark provides benefits for product teams not available in generic AI solutions:\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cstrong\u003eDependable outputs:\u003c/strong\u003e Every Spark output is traceable to its source, with citations that take you to related feedback and documents. Generic AI produces plausible-sounding outputs, often disconnected from underlying sources and your organization's data.\u003c/li\u003e\u003cli\u003e\u003cstrong\u003ePersistent context:\u003c/strong\u003e Spark knows your product, customers, and market from day one, and that knowledge compounds over time. Generic AI requires re-uploading context to every new project or session.\u003c/li\u003e\u003cli\u003e\u003cstrong\u003eDeep collaboration:\u003c/strong\u003e Spark is multiplayer by default. Specs can be co-edited in real time by PM, designer, engineer, and Spark! Generic AI remains fundamentally single-player.\u003c/li\u003e\u003cli\u003e\u003cstrong\u003eGuided workflows:\u003c/strong\u003e Spark has PM best practices baked in â opportunity discovery, feedback analysis, spec authoring, and impact measurement. Spark is equipped to take you through guided workflows, or execute on complex product tasks, while always keeping you in the driver seat. With generic AI you always start from a blank prompt window.\u003c/li\u003e\u003cli\u003e\u003cstrong\u003eOrg knowledge:\u003c/strong\u003e Knowledge in Spark compounds at the organization level and survives every personnel change. In generic AI, it lives in individuals' chat histories.\u003c/li\u003e\u003c/ul\u003e"])</script>
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895<script>self.__next_f.push([1,"\u003cp\u003eIf you've already used terminal or IDE-based tools like Claude Code or Cursor to carry out product management tasks, then you'll have a taste for what's possible when you have an agent that can tap into additional context to produce more tailored outputs.\u003c/p\u003e\u003cp\u003eProductboard Spark offers the most popular capabilities of agentic harnesses employed by product managers, but does so in a collaborative environment, and without the maintenance headaches:\u003c/p\u003e\u003cul\u003e\u003cli\u003e\u003cstrong\u003eBuilt for collaboration:\u003c/strong\u003e Spark is built for many colleagues and agents collaborating on the same documents and product data in real-time.\u003c/li\u003e\u003cli\u003e\u003cstrong\u003ePersistent context:\u003c/strong\u003e Spark knows your product from day one. DIY agent context is scattered across markdown files on your harddrive, GitHub repos, and systems that drift over time.\u003c/li\u003e\u003cli\u003e\u003cstrong\u003eGuided workflows:\u003c/strong\u003e Spark ships purpose-built workflows for product work. With a DIY agent, you develop and maintain every workflow yourself.\u003c/li\u003e\u003cli\u003e\u003cstrong\u003eDependable outputs:\u003c/strong\u003e Every Spark output is traceable to its source. DIY agents often lack source tracing, and hallucination risk grows at scale.\u003c/li\u003e\u003cli\u003e\u003cstrong\u003eOrg knowledge:\u003c/strong\u003e Knowledge in Spark compounds continuously, growing from one initiative to the next. For DIY agents, it departs with the PMs who built it.\u003c/li\u003e\u003c/ul\u003e\u003cp\u003eAbove all, Productboard Spark gets you to value in hours, not weeks or months, with a dedicated system that frees you to focus on your own product â not AI infrastructure administration.\u003c/p\u003e"])</script>
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895<script>self.__next_f.push([1,"\u003cp\u003eProductboard's agentic product system supports a \u003ca href=\"https://www.productboard.com/platform/integrations/\" rel=\"noopener noreferrer\" target=\"_blank\"\u003ewide variety of integrations\u003c/a\u003e for centralizing feedback, segmenting customers, collaborating with colleagues, and pushing prioritized features into delivery.\u003c/p\u003e\u003cp\u003eProductboard's customer feedback engine categorizes trends \u0026amp; findings (from Zendesk, Gong, Fin, Slack, G2...) that Spark surfaces as new opportunities, and employs when replying to queries about customer needs.\u003c/p\u003e\u003cp\u003eSpark is also able to enrich opportunities it identifies with customer data synced from Salesforce.\u003c/p\u003e\u003cp\u003eSpark's deep product knowledge is based in part on codebase analysis enabled by a GitHub integration, as well as indexing of public product documentation and help articles.\u003c/p\u003e\u003cp\u003eSpark also supports MCP connectors, allowing you to connect to solutions with MCP servers â including Amplitude, Pendo, Hex, Linear, Notion and more. Product teams can query product analytics, retrieve documentation, update tasks, and sync insights across tools by way of natural language prompts.\u003c/p\u003e\u003cp\u003eWhen submitting a prompt to Spark, you can easily load in context from specific documents in connected systems like Confluence, Notion, and Google Drive.\u003c/p\u003e\u003cp\u003eSpark ingests additional publicly available data â such as competitor pricing pages, product reviews, and feature announcements, for competitive intelligence â with no connected data sources required.\u003c/p\u003e"])</script>
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895<script>self.__next_f.push([1,"\u003cp\u003eYour data is not used to train or improve external AI models.\u003c/p\u003e\u003cp\u003eSpark accesses your workspace documents, customer feedback, product data, connected integrations, and associated data to generate context-aware responses.\u003c/p\u003e\u003cul\u003e\u003cli\u003eWorkspace documents â product strategy, product briefs and specifications, product documentation, personas, pricing \u0026amp; packaging, competitor info, and any other documents in your workspace\u003c/li\u003e\u003cli\u003eCustomer feedback â all feedback in your workspace which may include feedback brought in by integrations, feedback forms, and submitted on Portals\u003c/li\u003e\u003cli\u003eMCP Connectors â data from connected tools like Amplitude, Pendo, Hex, Linear, and Notion\u003c/li\u003e\u003cli\u003eContext integrations â documents from Google Drive, Confluence, Notion, and uploaded PDFs, CSVs, and markdown files\u003c/li\u003e\u003cli\u003ePublicly available information about your company, product, and competitors, gathered automatically when you first enable Spark in your workspace\u003c/li\u003e\u003cli\u003eProduct data in your workspace â including data associated with entities such as objectives and key results, initiatives, releases, products, components, features, and subfeatures\u003c/li\u003e\u003c/ul\u003e\u003cp\u003eFor more information, see Productboard's \u003ca href=\"https://www.productboard.com/legal/productboard-ai-terms/\" rel=\"noopener noreferrer\" target=\"_blank\"\u003eAI Terms\u003c/a\u003e.\u003c/p\u003e"])</script>
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895<script>self.__next_f.push([1,"\u003cp\u003eIf you're new to Productboard, you can start a trial of Productboard (with Spark as built-in agent) which includes a defined number of Spark credits:\u003c/p\u003e\u003cul\u003e\u003cli\u003eWhen you first get started, Spark draws upon publicly available information about your product and business to give you a head start in defining the canonical knowledge Spark will use moving forwards. You can continue to refine this information with help from colleagues, and from Spark.\u003c/li\u003e\u003cli\u003eOnce you have some context in the system, some core product data added (like objectives, initiatives, or feature ideas), and feedback imported from other tools, you can expect to immediately begin getting value from Spark. No weeks of defining taxonomies or data hygiene just to get started.\u003c/li\u003e\u003c/ul\u003e\u003cp\u003eExisting Productboard customers have an accelerated path. The organizational memory you've already built in Productboard is the foundation Spark builds upon:\u003c/p\u003e\u003cul\u003e\u003cli\u003eAn admin can enable Spark for your workspace. A built-in Spark skill guides admins through workspace configuration.\u003c/li\u003e\u003cli\u003eSpark also onboards makers across the workspace when they first return to Productboard after Spark has been enabled.\u003c/li\u003e\u003cli\u003eConnect additional integrations like GitHub for codebase analysis or enable indexing of your public product documentation. Spark will be able to apply deeper knowledge about your product to answer queries and author high quality product docs.\u003c/li\u003e\u003c/ul\u003e"])</script>
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