Master frameworks for measuring, achieving, and maintaining product-market fit (PMF). Use when validating new products, assessing readiness to scale, diagnosing retention problems, planning market expansion, measuring "very disappointed" score, implementing PMF engines, or determining if you have permission to grow. Covers Sean Ellis survey methodology, Superhuman PMF engine, retention curve analysis, leading/lagging indicators, pre-PMF vs. post-PMF strategies, and maintaining fit as markets evolve.
View on GitHubslgoodrich/agents
ai-pm-copilot
January 21, 2026
Select agents to install to:
npx add-skill https://github.com/slgoodrich/agents/blob/main/plugins/ai-pm-copilot/skills/product-market-fit/SKILL.md -a claude-code --skill product-market-fitInstallation paths:
.claude/skills/product-market-fit/# Product-Market Fit Frameworks for measuring, achieving, and maintaining the critical milestone where your product satisfies strong market demand. ## Overview Product-Market Fit (PMF) is the degree to which a product satisfies strong market demand - the inflection point where a product becomes a "must-have" for a well-defined market segment. **Core Principle:** PMF is not a destination, it's a milestone that gives you permission to scale. Maintaining it requires continuous attention to customer needs and market evolution. **Key Insight:** You can't manufacture PMF through marketing or sales tactics. PMF comes from deeply understanding a specific market segment and building something they desperately need. Scaling before PMF is the number one killer of startups. **Historical Context:** - Term coined by Marc Andreessen (2007) - Operationalized by Sean Ellis with 40% rule (2010) - Systematized by Rahul Vohra with Superhuman PMF Engine (2017) ## When to Use This Skill **Auto-loaded by agents**: - `product-strategist` - For PMF measurement, Sean Ellis survey, and retention analysis **Use when you need**: - Measuring product-market fit status - Running Sean Ellis PMF surveys - Analyzing retention curves - Determining readiness to scale - Diagnosing retention problems - Planning PMF improvement strategies - Deciding pre-PMF vs. post-PMF tactics - Validating market expansion opportunities --- ## Measuring Product-Market Fit ### The Sean Ellis Test (40% Rule) The definitive method for measuring PMF through a single powerful question. **The Question:** > "How would you feel if you could no longer use [product]?" > - a) Very disappointed > - b) Somewhat disappointed > - c) Not disappointed (it isn't really that useful) **PMF Threshold:** - **40%+ "Very disappointed" = PMF achieved** - 25-40% = Close, keep iterating - <25% = No PMF yet **Why this works:** - Measures must-have vs. nice-to-have - Predictive of retention - Correlates with organic growth - Simple t