Runs the Sean Ellis disappointment item alongside 16 Likert statements across four fit dimensions, then returns an AI PDF report with banded scores and the segment worth doubling down on.
Quick answer
Runs the Sean Ellis disappointment item alongside 16 Likert statements across four fit dimensions, then returns an AI PDF report with banded scores and the segment worth doubling down on.
The Sean Ellis product-market fit test asks one brutal question — how would you feel if you could no longer use the product? — and the classic reading is the very-disappointed share against the 40% bar. This assessment keeps that item and adds depth: sixteen 1–5 statements grouped into Disappointment Risk, Value Proposition Fit, Habitual Usage and Referral Likelihood, plus open follow-ups on the benefit received, who the product should serve and the one improvement that would make it indispensable. Each completion returns an AI PDF report with banded scores per dimension, so you can see both the fit level and which user group to double-tap next; read the very-disappointed share from the core item yourself when you export.
Live form and AI report preview — fill it in and the report is generated from your answers.
Everything you need to run this template.
Very disappointed to would not use, four-point, captured as its own question.
Disappointment risk, value fit, habitual usage, referral likelihood — 16 weighted items.
Main benefit received, who it should serve, the indispensable fix.
Score bands per dimension plus an interpretation, printable as PDF.
From copy to deliverable in four steps.
Copy the PMF survey into your FormLM workspace — free.
Only users who engaged in the last two weeks count.
Very disappointed to would not use, four options.
Fit bands per dimension; tally the disappointed share yourself against the 40% bar.
Pick your role — see how it fits your workflow.
Get an honest pre-scale read.
Re-test fit after a pivot or relaunch.
Request fit before writing the check.
What makes this template work as a professional deliverable.
A preview of real questions — the full version adds scoring and a personalized report per respondent.
