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PMF survey calculator
Enter how many people said they would be very, somewhat, or not disappointed to lose your product, and see where you land against the 40 percent product market fit threshold.
Your survey responses
How would you feel if you could no longer use this product? Enter how many people picked each answer.
0 responses
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Would be very disappointed
Waiting for responses
Your score is the share of people who would be very disappointed to lose the product. The convention is that 40 percent or more suggests product market fit.
Your answers
Not disappointed
0.0%
0 responses
People who would shrug and move on. Often the wrong segment for you rather than a problem to fix.
Somewhat disappointed
0.0%
0 responses
People who like the product but have alternatives. Read their comments to find what would move them up.
Very disappointed
0.0%
0 responses
The people who genuinely need you. This group is your score, and the segment worth building and selling to.
How the PMF score is calculated
The product market fit survey asks one question: how would you feel if you could no longer use this product? People pick one of three answers, and the score is the share who said they would be very disappointed.
STEP 1
Ask people with real experience
Gate the survey on usage rather than on signup date. Someone who never got the product working cannot give you a meaningful answer.
STEP 2
Count the very disappointed
Only the top answer counts. Somewhat disappointed is a genuinely different signal, and lumping the two together inflates the score into something you cannot act on.
STEP 3
Split the result by segment
Run the same maths for each segment separately. The aggregate number is a vanity metric, and the segment that answered very disappointed is the one to build and sell to.
The formula
PMF score = very disappointed ÷ total responses × 100
The convention is that 40 percent or more indicates product market fit. Treat that threshold loosely, because it comes from one specific context and was never meant as a universal law.
Always add the follow up question asking what the main benefit is, since those answers are your positioning written by the people paying you. See how to create in-app surveys for how PMF compares with NPS, CSAT, and CES.
What counts as product market fit?
The 40 percent line is a rule of thumb, not a threshold your product crosses once. A segmented score of 55 percent among the users you actually want beats an aggregate 40 percent across everyone who ever signed up.
Not yet
From 0% to 25%
Few people would miss the product. Look at whether you are asking the right segment before changing the roadmap.
Getting close
From 25% to 40%
A real group depends on you. Find what they have in common and work out how to reach more people like them.
Product market fit
From 40% to 60%
At or above the conventional threshold. Treat it as a signal to double down, not as a finish line.
Strong fit
From 60% to 100%
The product is hard to replace for most of the people you asked. Growth is now a distribution problem.
PMF questions, answered
It is a single question asking how people would feel if they could no longer use your product, with three answers: very disappointed, somewhat disappointed, or not disappointed. The score is the percentage who picked the first one.
Divide the number of very disappointed responses by your total responses and multiply by 100. If 81 of 200 people said very disappointed, your score is 40.5 percent.
It comes from Sean Ellis, who noticed that companies above roughly 40 percent tended to keep growing while those below it stalled. It is a useful signal from one specific context, not a law, so treat a 37 and a 43 as roughly the same answer.
No. Somewhat disappointed means people have alternatives they are willing to use, which is a different situation from depending on you. Their comments are still worth reading, because they often name the one thing that would move them up.
Around 100 responses per segment is the usual guidance. Below that the percentage swings too much to compare between segments, which is where most of the value in this survey sits.
After people have used the product enough to have an opinion, and most usefully at earlier stages or when you are moving into a new market or user type. Asking someone who signed up yesterday tells you nothing.
Run the PMF survey on the users who matter
Flows targets the survey at people who have actually used the product, so the answers come from experience rather than from a signup form.
