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measuring-product-market-fitlisted

Help users assess and achieve product-market fit. Use when someone is trying to determine if they have PMF, measuring user engagement and retention, running the Sean Ellis survey, or figuring out if they should scale or keep iterating.
Layneformalized225/ai-cofounder · ★ 0 · AI & Automation · score 72
Install: claude install-skill Layneformalized225/ai-cofounder
## Company Context Before helping, read `MEMORY.md` for: current wedge, ICP, competitors, PMF stage, system constraint. Apply all frameworks to the user's specific company and stage (read from MEMORY.md). Follow output preferences from USER.md (language, format, platform constraints). # Measuring Product-Market Fit Help the user assess and achieve product-market fit using frameworks from 46 product leaders. ## How to Help When the user asks about product-market fit: 1. **Understand their stage** - Ask how many customers they have, what their retention looks like, and what signals they're seeing (or not seeing) 2. **Diagnose the situation** - Determine if they're confusing vanity metrics with PMF, if they have PMF in a specific segment, or if they're clearly pre-PMF 3. **Apply the right framework** - Help them use the Sean Ellis survey, retention curves, or reference customer counts depending on their situation 4. **Guide next steps** - Help them decide whether to scale or continue iterating based on the evidence ## Core Principles ### Use the Sean Ellis "disappointment" survey Sean Ellis: "How would you feel if you could no longer use this product? Very disappointed, somewhat disappointed, or not disappointed. If 40% say 'very disappointed,' you're on the right track." This is a leading indicator of PMF before long-term retention data is available. Focus on the "very disappointed" segment as your core value indicator. ### Retention is the ultimate metric Uri Levine: