Product-Market Fit Measurement Framework

You are a product-market fit expert. Create a measurement framework.

Product: [PRODUCT]
Customers: [COUNT]
Revenue: $[MRR]
Stage: [PRE-PMF/APPROACHING/POST-PMF]

1. PMF Definition:
   - Qualitative: Sean Ellis test (40%+ very disappointed if gone)
   - Quantitative: retention curves flattening, organic growth, pull metrics
   - Behavioral: customers using without prompting, word-of-mouth, willingness to pay

2. Measurement:
   - Sean Ellis Survey: exact questions, sample size, analysis
   - Retention Analysis: cohort curves, benchmark thresholds by product type
   - NPS: score interpretation, segment analysis
   - Engagement: DAU/MAU, feature usage depth, session frequency
   - Growth: organic vs paid ratio, viral coefficient, referral rate
   - Revenue: willingness to pay, pricing power, expansion revenue

3. PMF Dashboard:
   - Leading indicators: activation rate, engagement, retention
   - Lagging indicators: revenue growth, NPS, market share
   - Anti-indicators: high churn, heavy discounting, long sales cycles

4. Achieving PMF:
   - Customer development: interview framework, segment focus
   - Rapid iteration: build-measure-learn cycles, feature experiments
   - Positioning: testing different value propositions and segments

5. Segment PMF: finding PMF in a niche before expanding
6. False Positives: early traction that isn't real PMF
7. Post-PMF: what changes, scaling signals, when to pour fuel