Build a Product-Market Fit Scoring Dashboard

1. 1

   Codify the signals the literature actually supports

   Cohort retention curves that flatten rather than decay, the established very-disappointed survey run properly on active users, usage frequency measured against the product's natural cadence, and revenue retention. Resist inventing a proprietary metric; the credibility comes from instrumenting the accepted ones together.

2. 2

   Integrate rather than re-instrument

   Pull from the analytics, billing, and survey tools startups already use; nobody will re-instrument their product for a scorecard. The tool's job is joining and interpreting, not collecting.

3. 3

   Interpret in plain language with error bars

   Each month's scorecard says what the evidence shows, what it cannot show at current sample sizes, and what to measure next. Refusing false precision is the feature sophisticated users will pay for and quote.

4. 4

   Build for the monthly ritual

   A scheduled monthly fit review (score, deltas, one suggested experiment) fits how founders and boards actually operate; daily dashboards in this category become wallpaper.

5. 5

   Sell through the coaching layer

   Accelerators, startup studios, and fractional product leaders advise dozens of teams on exactly this question; a portfolio view priced per cohort gives them a shared evidence language and gives you distribution.

6. 6

   Price modestly and stay honest

   Tens of dollars a month per product fits pre-fit budgets by definition. The long-term asset is a reputation for scores founders trust enough to cite; one inflated benchmark would spend it.

Do not take our word for the money. Put your own numbers in and see what this idea has to earn before it works. Free, instant, no account needed.