34% of startup failures are due to poor Product Market Fit
How to Measure
Product Market Fit
Stop guessing if you have PMF. The Sean Ellis test gives you a clear, quantifiable score.
Your PMF Journey
The 40% Rule
If 40% or more of your users would be "very disappointed" if they could no longer use your product, you have product-market fit.
≥40%
Very Disappointed
Strong PMF. These are your champions—they can't live without you.
~30-40%
Somewhat Disappointed
On the fence. Focus on converting them to champions.
~20-30%
Not Disappointed
Not your target market. Don't waste time here.
The One Question That Matters
This is the exact question used by Superhuman, Slack, and hundreds of successful startups
"How would you feel if you could no longer use [Product Name]?"
Why This Measurement Works
Measures Dependency
"Very disappointed" users have integrated your product into their workflow. They depend on it.
Predicts Growth
40%+ PMF correlates with organic growth, low churn, and strong word-of-mouth.
Battle-Tested
Created by Sean Ellis. Used by Superhuman, Slack, Dropbox, and hundreds of successful startups.
Simple & Clear
One question. Three options. Easy to understand and act on.
How to Run Your PMF Survey
Survey Your Active Users
Target users who have used your product at least twice in the past 2 weeks. They have enough experience to give meaningful feedback.
Collect 200-500+ Responses
You need statistical significance. Aim for at least 200 responses, but 500+ gives you better segmentation insights.
Ask Follow-up Questions
After the main question, ask segmentation questions (role, company size, location) and open-ended feedback to understand WHY they love you.
Calculate Your Score
(Number of "Very Disappointed" responses ÷ Total responses) × 100 = Your PMF Score
Segment Your Results
Break down PMF by customer type, geography, user tenure, etc. This reveals where you have strong PMF and where you don't.
Your PMF Journey
Get User Feedback that drives Product Market Fit
Get pre-built PMF survey templates, automatic scoring, and segmented analysis—all in one place.
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