measuring-product-market-fitlisted
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: