Guides and ideas on product discovery, Opportunity Solution Trees, and getting more out of Outcomify.
A vote count hides the need behind a request, the customers behind the votes, and whether anything you build answers it. Here is what to count instead, and how we built it into Outcomify.
An AI-written weekly summary of what each product team is discovering — new opportunities, validated assumptions, and what got dropped — from the tree itself.
Have an Opportunity Solution Tree trapped in a Miro board? Screenshot it and let an AI assistant rebuild it in Outcomify through the MCP server.
Give Claude, Cursor, or any MCP client secure access to your Opportunity Solution Trees — read the tree, find nodes, and draft changes for review.
Continuous discovery means many small, frequent updates. Here is how an AI assistant helps you capture and triage them without losing human judgment.
Miro is a brilliant whiteboard, but Opportunity Solution Trees need structure. An honest comparison for product discovery teams.
Follow a complete Opportunity Solution Tree from outcome to tested assumption — a concrete example you can copy for your own product discovery.
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