Radar de Ajuste Producto-Mercado
PRODiagnostica, mide y visualiza el journey de mi startup hacia product-market fit usando test Sean Ellis, cohorts de retención y análisis radar multidimensional.
Ejemplo de Uso
Llevamos 8 meses y no sé si tenemos PMF. Ayúdame a medir dónde estamos con el test de Sean Ellis y análisis de cohortes.
Cómo Usar Este Skill
Copiar el skill usando el botón de arriba
Pegar en tu asistente de IA (Claude, ChatGPT, etc.)
Completa tus datos abajo (opcional) y copia para incluir con tu prompt
Envía y comienza a chatear con tu IA
Personalización Sugerida
| Descripción | Por defecto | Tu Valor |
|---|---|---|
| My business model type affecting benchmark expectations | B2B SaaS | |
| Current funding/growth stage for context-appropriate advice | Seed | |
| Primary metric focus for the analysis | Retention | |
| My target customer segment for persona analysis | General | |
| How I'll provide data: Raw CSV, Summary Stats, or Qualitative | Summary |
Product-Market Fit Radar is a diagnostic and analytical framework that helps founders and product managers objectively measure their journey toward product-market fit. Instead of treating PMF as a gut-feeling milestone, this skill visualizes it as a spectrum across Retention, Satisfaction, Growth, and Economics dimensions—identifying exactly which part of the engine needs work.
Fuentes de Investigación
Este skill fue creado usando investigación de estas fuentes autorizadas:
- Superhuman PMF Engine Gold standard framework by Rahul Vohra for measuring and systematically increasing PMF using the 40% rule
- Andrew Chen's Investor Metrics Detailed breakdown of retention curves, DAU/MAU ratios, and power user curves
- PostHog PMF Survey Guide Practical engineering-focused guide to implementing PMF surveys for B2B/B2C
- Lenny's Guide to PMF Comprehensive benchmarks and timelines for B2B vs Consumer apps
- YC Startup School: PMF Y Combinator's fundamental definitions and validation techniques
- Sean Ellis Test Official Official methodology for the 'How disappointed would you be?' survey
- Reforge Retention Series Advanced concepts on retention as the proxy for PMF
- a16z Growth Metrics Dictionary of growth metrics including Magic Number and Burn Multiples
- PostHog B2B SaaS Metrics Open-source definitions of B2B SaaS metrics tracking PMF
- Cohort Analysis Python Examples Python-based Jupyter notebooks for calculating retention cohorts