Product-Market Fit Survey Analyzer
Analyze Sean Ellis PMF survey results with NPS and engagement signals. Enter values for instant results with step-by-step formulas.
Worked Examples
Example 1: Early-Stage SaaS
Problem:B2B SaaS with 200 active users. 30% very disappointed, 40% somewhat, 30% not. NPS +15.
Solution:PMF score 30% is approaching but not there. Focus on converting 'somewhat disappointed' users. Interview top 30% to understand what makes them love it, then replicate for others.
Result:30% PMF (below threshold) | Focus on core users | Iterate before scaling
Example 2: Consumer App Launch
Problem:Consumer app surveyed 500 users. 50% very disappointed, 30% somewhat, 20% not. NPS +45.
Solution:Strong PMF at 50%! Combined with +45 NPS indicates ready to scale. Invest in growth, paid acquisition, and virality features.
Result:50% PMF (strong) | NPS +45 | Ready for growth investment
Example 3: Struggling Product
Problem:200 responses: 12% very disappointed, 25% somewhat, 63% not. NPS -10.
Solution:No PMF at 12%. Major pivot or repositioning needed. Stop growth spending. Interview the 12% who love it—why? Rebuild around their use case.
Result:12% PMF (no fit) | Pivot needed | Focus on core 12%
Frequently Asked Questions
What is the Sean Ellis PMF survey?
The Sean Ellis test asks users: 'How would you feel if you could no longer use [product]?' The key metric is the percentage answering 'Very disappointed.' If 40%+ say very disappointed, you likely have product-market fit.
How many survey responses do I need?
Minimum 100 responses for directional insight, ideally 200-400 for statistical reliability. Survey users who have experienced your core value proposition—not just signed up but actually used the product meaningfully.
Who should I survey for PMF?
Survey active users who have experienced your product's core value. Avoid churned users, very new users, or those who never engaged. You want to know if people who 'get it' would miss it.