What problem does it solve? Founders and product teams often scale go-to-market spending before confirming product-market fit, or rely on vanity metrics like signup counts instead of retention and willingness-to-pay evidence. This Skill provides a structured framework to measure where a product sits on the PMF spectrum and what actions to take next. ## Core Features & Use Cases - Four-Pillar Validation Framework: Covers JTBD clarity interviews, Van Westendorp willingness-to-pay probes, activation metric (aha moment) analysis, and retention cohort curves. - Decision Framework: Classifies results into strong, moderate, weak, or no PMF with concrete thresholds (e.g., month-3 retention, NPS, Sean Ellis test) and recommended actions per level. - Structured Plan Template: Produces a JSON validation plan with sample sizes, success criteria, hypotheses, and a 6-week timeline, plus output files like pmf_assessment.md and retention_cohorts.json. - Use Case: A B2B SaaS team with flat growth uses the Skill to run 30 JTBD interviews, a 100-user WTP survey, and cohort retention analysis, concluding they have moderate PMF and should improve onboarding before scaling ads. ## Quick Start Create a PMF validation plan for my AI support agent product, including JTBD interviews, willingness-to-pay analysis, activation metrics, and retention cohort targets.
