From ai-pm-copilot
Measures product-market fit with Sean Ellis surveys (40% very disappointed rule), Superhuman engine, retention curves, and scaling indicators. For validating products, diagnosing retention, and planning growth.
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Frameworks for measuring, achieving, and maintaining the critical milestone where your product satisfies strong market demand.
assets/pmf-measurement-dashboard.mdassets/retention-curve-analysis.mdassets/sean-ellis-pmf-survey.mdassets/superhuman-pmf-engine.mdassets/value-proposition-canvas.mdreferences/leading-lagging-indicators.mdreferences/maintaining-pmf-guide.mdreferences/pmf-case-studies.mdreferences/pmf-stages-guide.mdAssesses product-market fit using Sean Ellis survey, retention curves, leading indicators, segment analysis, and post-PMF scaling strategies. Useful for PMF validation, engagement measurement, surveys, and scaling decisions.
Guides product-market fit (PMF) via measurement frameworks, retention analysis, Sean Ellis surveys, segment strategies, pre/post-PMF navigation. Activates on PMF, retention mentions.
Guides product-market fit validation and measurement using Sean Ellis 40% test, vitamin vs painkiller framework, retention metrics, and organic growth signals before scaling.
Share bugs, ideas, or general feedback.
Frameworks for measuring, achieving, and maintaining the critical milestone where your product satisfies strong market demand.
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.
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product-strategist - For PMF measurement, Sean Ellis survey, and retention analysisUse when you need:
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:
Why this works:
Complete survey methodology: See assets/sean-ellis-pmf-survey.md for:
Systematic framework for measuring and improving PMF score quarter over quarter.
Philosophy: PMF is not binary - it's a spectrum you can measure and improve systematically.
The 5-Step Engine:
Superhuman's Results:
Q1 2017: 22% → Q2 2018: 58% (18 months)
Complete framework: See assets/superhuman-pmf-engine.md for:
Retention patterns reveal if your product is truly a must-have.
Three Patterns:
1. Leaky Bucket (No PMF):
2. Flattening Curve (PMF!):
3. Smiling Curve (Strong PMF):
Complete analysis: See assets/retention-curve-analysis.md for:
Use both types of indicators to measure PMF comprehensively.
Early signals before metrics confirm PMF:
1. Organic Growth:
2. User Engagement:
3. Customer Passion:
4. Sales Velocity (B2B):
5. Struggle to Keep Up:
Hard metrics that retrospectively validate PMF:
1. Retention:
2. Net Promoter Score:
3. Unit Economics:
4. Growth Rate:
5. Market Pull:
Comprehensive guide: See references/leading-lagging-indicators.md for:
Track PMF through multiple lenses for complete picture.
Primary Metrics (The Big 3):
Supporting Metrics:
Update frequency:
Complete dashboard: See assets/pmf-measurement-dashboard.md for:
Activities:
Timeline: 2-4 weeks
Framework:
For [target segment]
Who [problem/need]
Our [product category]
That [key benefit]
Unlike [alternatives]
We [unique capability]
Validation: Would 40% be "very disappointed" to lose this?
Timeline: 1-2 weeks
Complete canvas: See assets/value-proposition-canvas.md
Build minimum viable product:
Validation criteria:
Timeline: 4-8 weeks
Implement measurement:
Timeline: 2-4 weeks to implement
Apply Superhuman Engine:
Timeline: 6-18 months to reach 40%+
Characteristics:
Focus:
Common mistakes:
Characteristics:
Focus:
Green lights to scale:
Characteristics:
Focus:
Risk: Losing PMF through feature bloat, serving wrong customers, losing focus
Detailed guide: See references/pmf-stages-guide.md for:
Internal factors:
External factors:
1. Continuous Customer Contact:
2. Core Value Protection:
3. Segment Discipline:
4. Regular PMF Surveys:
5. Competitive Monitoring:
Complete guide: See references/maintaining-pmf-guide.md for:
See references/pmf-case-studies.md for detailed PMF journeys (Superhuman, Slack, Quibi, Figma) with metrics, timelines, and lessons.
user-research-techniques - Interview methods, research synthesis (understanding users)validation-frameworks - Problem/solution validation and MVP testingmarket-sizing-frameworks - Market opportunity assessment