प्रोduct-Market Fit Radar
PROSean Ellis test, retention cohorts और multi-dimensional radar analysis use करके मेरी startup की product-market fit journey diagnose, measure और visualize करो!
इस स्किल का उपयोग कैसे करें
स्किल कॉपी करें ऊपर के बटन का उपयोग करें
अपने AI असिस्टेंट में पेस्ट करें (Claude, ChatGPT, आदि)
नीचे अपनी जानकारी भरें (वैकल्पिक) और अपने प्रॉम्प्ट में शामिल करने के लिए कॉपी करें
भेजें और चैट शुरू करें अपने AI के साथ
सुझाया गया कस्टमाइज़ेशन
| विवरण | डिफ़ॉल्ट | आपका मान |
|---|---|---|
| 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.
शोध स्रोत
यह स्किल इन विश्वसनीय स्रोतों से शोध का उपयोग करके बनाया गया था:
- 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