What problem does it solve? Founders and product managers struggle to objectively assess whether their product is approaching Product-Market Fit and to forecast active user growth under different scenarios before and after launch. ## Core Features & Use Cases - 3-Case Scenario Projection: Produces Optimistic, Base, and Pessimistic PMF scenarios with viral K-factor, D30 retention, and time-to-PMF estimates. - Quantitative PMF Frameworks: Applies the Sean Ellis test (40% very disappointed threshold), D30 retention, NPS, DAU/MAU, organic growth ratio, and CAC payback benchmarks. - Active User Forecasting: Models monthly active users from signup volume, activation rate, retention curves, and referral K-factor. - Periodic Reporting Mode: Generates weekly or monthly PMF dashboards with verdicts (PRE-PMF / APPROACHING / PMF ACHIEVED) and three recommended experiments. - Use Case: A pre-launch founder asks for a marketability analysis and receives a docs/pmf/pmf-analysis-<date>.md report with scenario tables, month-by-month active user projections, and key improvement levers. ## Quick Start Ask the assistant to run a PMF analysis for your product with expected monthly signups and retention assumptions to get a three-scenario projection report.
