Product-Market Fit Scoring Grader
Grade real PMF signals before you pour fuel on the fire.
Some fit, but not enough to floor the acquisition budget. Scaling now amplifies a leaky funnel. Fix the weakest signal, usually retention or organic pull, before spending harder.
Retention and the "very disappointed" test predict PMF better than growth rate, a leaky product can grow fast on paid spend and still lack fit.
About this calculator
Growth rate lies about product-market fit, a leaky product can look like it's winning while running hot on paid spend, right up until the moment spend stops and growth stops with it. This grader scores the signals that actually predict durable fit, the "very disappointed" test, retention shape, organic pull, and referral strength, so you know whether to fund acquisition or fix the product first.
How to use it
- Rate each of the four signals as strong, mixed, or weak/no: whether more than 40% of users say they'd be "very disappointed" if your product went away, whether your retention curve flattens rather than trending to zero, whether you see organic or word-of-mouth pull, and whether NPS and referrals are strong.
- Read the weighted PMF score out of 100.
- Read the verdict, strong PMF and ready to scale, emerging and worth caution, or pre-PMF and still iterating.
Methodology
Each signal carries a fixed weight reflecting how predictive it is: the "very disappointed" test and retention flattening are weighted 30 points each, organic pull and NPS/referrals 20 points each, for 100 points total.
Each signal is rated strong (full weight), mixed (half weight), or weak/no (zero), and the weighted points are summed into the overall score.
A score of 75 or above signals strong PMF, scale acquisition with confidence. 45 to 74 is emerging, real signal but not enough to floor the acquisition budget yet. Below 45 is pre-PMF, more spend here mostly buys churn.
Retention and the very-disappointed test are weighted heaviest because they're the hardest to fake, a product can grow fast on paid spend without real fit, but it can't retain users or make them genuinely upset at losing it without solving a real problem.
FAQ
Growth rate and signups can be bought with ad spend regardless of whether the product actually fits a need. Retention curves and the disappointment test measure whether people who tried the product keep choosing it and would miss it, that's much harder to manufacture artificially and much closer to real fit.
A cohort's retention percentage should level off at some floor after the first few weeks or months rather than continuing to decay toward zero. A flat tail, even a modest one, means the users who stick around genuinely value the product; a curve that keeps sloping down means you're constantly refilling a leaking bucket.
Treat that as a warning, not a contradiction. Fast growth without underlying retention or organic pull usually means acquisition spend is masking a leaky funnel. Pause aggressive scaling, dig into where users drop off, and prioritize fixing the weakest signal before pouring more budget into the top of the funnel.
Yes, PMF isn't permanent. A new competitor, a pricing change, or a shift in your ICP can erode retention and organic pull over time. Re-run this quarterly, especially after any major product or market change, rather than treating one strong score as a settled fact.