What problem does it solve?
This Skill helps you measure whether your product is a must-have for a specific market, pinpoint why retention is failing or lagging, and turn that diagnosis into a structured plan to improve product-market fit over time.
Core Features & Use Cases
- Measure PMF with the Sean Ellis “40% rule”: Run the “Very disappointed” survey and classify PMF status using the 40% threshold, then segment responses to understand who your champions are.
- Analyze retention to confirm PMF: Interpret retention curve shapes (leaky bucket, flattening, smiling) to decide whether you should stop scaling, optimize onboarding/value delivery, or scale aggressively.
- Improve PMF systematically with the Superhuman engine: Build a quarterly roadmap that focuses 50% on champions, 50% on converting warm users, and 0% on wrong-fit segments—then re-measure to track progress.
- Use leading vs. lagging indicators for decisions: Combine early signals (organic growth, engagement depth, customer passion, sales velocity, “struggle to keep up”) with confirmatory metrics (retention, NPS, unit economics, growth rate, market pull).
Quick Start
Use the product-market-fit skill to run the Sean Ellis PMF survey for your active users, segment results into Very/Something/Not disappointed cohorts, and generate a quarterly plan for improving your PMF score toward the 40% threshold.
