Product development grounded in real user insight, powered by AI
Palette continuously collects user insight through AI-moderated user interviews, usability tests, by analyzing product user sessions, and more. Every insight is added to your organization's evidence graph, to ensure your team always has the most up-to-date picture of how your users use your product and what they think of it. Palette understands the user insights and proposes features for development. Feature proposals can be turned into build specs and exported to your favorite workflow tools or built directly in Palette.
Palette can operate fully autonomously or adjust to your preferred workflow. You choose where it pauses for your team to review, guide, or decide in the product development workflow.
How Palette turns insight into features
- Insight. Palette continuously gathers user insight through AI-moderated user interviews, usability tests, by analyzing product user sessions, and more.
- Opportunities. Palette understands the insights and proposes features to be developed. Every insight that triggered a feature proposal can be traced back to real users.
- Shape. Palette turns a feature proposal into a build spec by doing the work a product manager would: talking with users, creating and testing different versions of the proposed feature through usability studies, and refining the build spec until it aligns with the user signals that prompted it.
- Build. Send the spec to your existing workflow tools or build it directly in Palette. No time or context is lost in converting insight into building tickets.
- Compare. Palette compares user insight before and after the feature ships, then uses the outcome to provide sharper feature proposals and build specs in the future.
From insight to build, in one platform.
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