Your description of the difficulty in tracking validated learning – from assumptions and interviews to experiments and actual learnings – resonates strongly with situations we've helped founders navigate. The struggle to maintain a clear history of why decisions were made, especially when spreadsheets feel clunky and Notion overkill, is a classic operational challenge. We've helped teams build more robust systems for this, often leveraging AI to structure and retrieve insights from qualitative data. If you're open to a quick chat, I could share some approaches that have worked for others facing similar issues with their 'idea → segment → pain → hypothesis' flow.
Your description of the difficulty in tracking validated learning – from assumptions and interviews to experiments and actual learnings – resonates strongly with situations we've helped founders navigate. The struggle to maintain a clear history of why decisions were made, especially when spreadsheets feel clunky and Notion overkill, is a classic operational challenge. We've helped teams build more robust systems for this, often leveraging AI to structure and retrieve insights from qualitative data. If you're open to a quick chat, I could share some approaches that have worked for others facing similar issues with their 'idea → segment → pain → hypothesis' flow.
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