Product-market fit is the point where a product satisfies a strong market demand — users pull the product out of you rather than you pushing it at them. Before it, nothing else compounds; after it, the constraint becomes delivery and distribution.
PMF shows up in behavior, not opinions. Users return without prompting, complain when it breaks, and refer others unprompted.
An MVP doesn't deliver product-market fit — it starts the search for it. Each iteration tests a sharper hypothesis about who the product is for and what job it must do.
Practical answers
Imperfectly. Retention is the closest single proxy: if a meaningful cohort keeps using the product week after week, you're near it. Surveys like the Sean Ellis test add signal.
Months to years. Most successful products iterated through several wrong versions first — which is why keeping the first build small and cheap matters.
Related pages
MVP Development
MVP development agency for founders: product scope, UX, engineering, and launch support from €7,000 — without overbuilding the first version.
Read pageGlossary
Retention explained: cohort curves, why flattening matters, and how retention is the closest thing to a product-market fit measurement.
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Activation rate explained: defining the aha moment, measuring it, and why activation is the first metric an MVP should optimize.
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Pivot explained: changing product direction while keeping the learning — types of pivots, signals it's time, and pivot vs iteration.
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