Product-Market Fit Assessment
Create a comprehensive framework to assess product-market fit for [product/feature]. Include: 1) Sean Ellis test question set with benchmark targets, 2) Retention curve analysis methodology with good/bad pattern identification, 3) NPS/CSAT measurement approach with industry benchmarks, 4) Usage frequency metrics with thresholds for different user types, 5) Organic growth and referral metrics, 6) Qualitative assessment through user interviews with specific questions, 7) Competitive displacement measurements, 8) Willingness-to-pay indicators, and 9) Overall scoring system to quantify current PMF status and track improvement over time.
How to Use This Prompt
- Copy the prompt using the button above
- Replace placeholders in [brackets] with your specific details
- Paste into your AI assistant (ChatGPT, Claude, Gemini, etc.)
- Iterate as needed - ask follow-up questions to refine the output
Why This Prompt Works
This prompt combines nine proven PMF measurement methods -- from the Sean Ellis survey and retention curve analysis to willingness-to-pay indicators and competitive displacement metrics. The output includes an overall scoring system that quantifies your current PMF status, giving you a data-driven baseline rather than relying on gut feeling about whether you have found product-market fit.
When to Use This Prompt
- When you are an early-stage startup trying to determine if you have achieved product-market fit
- When preparing for a fundraising round and need to demonstrate PMF evidence to investors
- When retention is declining and you need to diagnose whether you are losing product-market fit
Tips for Better Results
- Include your current user count and retention data so the AI can set realistic benchmark targets
- Specify your industry vertical for relevant NPS and CSAT benchmarks
- Mention whether you are pre-revenue or post-revenue to get appropriate willingness-to-pay metrics