Product-market-fit assessment
"Do we have product-market fit?" is a measurable question. This free assessment scores the five signal families that actually answer it — demand, retention, usage, pain, and expansion — on a deterministic 0–100 scale, and tells you which signals are real and which are still hope.
The five dimensions it scores
Each dimension is worth 20% of the score. Every answer option has a fixed value — the instrument can't be charmed.
A real PMF Signal result: the banded score, all five dimension scores, and the gaps that pulled it down — each with a recommended next step.
Why a deterministic PMF score beats a vibe check
Most PMF conversations fail the same way: the founder cites enthusiasm, the investor hears anecdotes, and nobody agrees on what would count as evidence. This assessment forces the question into measurable states. "Retention signal: none / anecdotal / measured" is not a feeling — you either have cohort data or you don't. The famous benchmarks (the Sean Ellis 40% "very disappointed" test, cohort retention curves) are things you go measure; this instrument tells you whether your evidence base is built enough for those numbers to mean anything.
Because scoring is fixed, the assessment also works between people. Have each founder run it separately: where the answers differ, you've found the actual disagreement — usually "is retention measured or anecdotal" — and that's a more useful conversation than debating the score itself.
It's a self-assessment, so it measures readiness as honestly as you answer. The output that matters isn't the number; it's the gap list — the shortest written path from where your evidence is thin to where it would hold.