Five steps to run the Sean Ellis product-market fit survey and interpret the result. Methodology, formula, and tips for product managers.
Last updated: April 2026
The PMF score is only meaningful when answered by people who have used your product enough to form an opinion. Surveying anonymous signups or one-time visitors gives you noise.
Formula
Active user list = users with 2+ sessions in last 14 days, most recent within 30 daysPro tip: If you have fewer than 100 active users, your PMF score will be too noisy to act on. Wait until you have a real cohort before running the survey.
Sean Ellis published the methodology in 2009 after benchmarking nearly 100 startups. The exact question matters. Don't paraphrase.
Formula
Survey response set = answers from your active user cohortPro tip: Aim for at least 40-100 responses. Below that, the percentage will swing too much for the result to be reliable.
The score only counts people who answered the core question. Drop the N/A group because they're not really users anymore.
Formula
Qualifying respondents = total responses - N/APro tip: The patterns in very-disappointed users’ follow-up answers are the marketing copy that will resonate with future users.
The PMF score is the share of qualifying respondents who said they'd be very disappointed without your product. The formula is straightforward.
Formula
PMF Score = (Very Disappointed responses / Qualifying responses) x 100%Pro tip: Track the score by user segment. You may have strong fit with one persona and weak fit with another. The blended score can hide both signals.
Sean Ellis's benchmark from his startup survey work: products at 40% or above tend to grow comparatively easily. Below 40%, you typically have to push hard on growth to compensate.
Formula
Status: above 40% (fit) | 25-40% (close) | below 25% (re-examine)Pro tip: 40% is a benchmark, not a guarantee. Pair the survey result with retention curves and word-of-mouth data before drawing conclusions.
Skip the spreadsheet math. Use our free PMF calculator with the Sean Ellis question, segmentation, and instant interpretation against the 40% threshold.
Open Free PMF CalculatorSean Ellis, founder of GrowthHackers, developed the methodology and published it in a 2009 blog post. He arrived at 40% by benchmarking nearly 100 startups and noticing that companies above that threshold consistently saw easier growth and stronger word-of-mouth than those below it.
Asking "would you recommend?" or "do you like our product?" invites polite over-reporting. Asking how disappointed someone would be if the product disappeared forces them to think about whether anything else could replace it, which is a much stronger test of fit.
Once a quarter is a reasonable baseline. Run it more often if you've shipped a major change or pivoted positioning. Watch the trend across runs more than any single number.
Survey active users regardless of whether they pay. The point is to measure whether the product is creating real value. If free users would be very disappointed but won’t pay, you have a pricing or packaging problem, not a fit problem.
Don't compute the percentage. Treat the qualitative responses as the value of the run, read the open-ended answers, and try again next quarter when you have a larger cohort.