Prototype vs. MVP

A prototype tests whether an idea is feasible or desirable without anyone actually using it for real work; an MVP is a real, usable product that tests the riskiest business assumption with real usage.

Why does Prototype vs. MVP matter?

Confusing the two produces the wrong artifact for the question you're actually asking. A prototype answers "can this be built" or "does this look right to someone" — it can be fake in every way that doesn't matter to that question, including having no backend at all. An MVP answers "will someone actually change their behavior for this" — and that question cannot be answered by anything a person only looks at, because looking is not using. Building a full MVP when a prototype would have answered the question wastes months; showing a prototype and calling the reaction validation skips the only test that matters.

What does Prototype vs. MVP look like in practice?

Suppose the question is whether a scheduling interface is intuitive enough for a receptionist mid-call. A clickable Figma prototype answers that in an afternoon of watching someone tap through it — no real data, no backend, nothing at stake for them. Suppose instead the question is whether a practice will actually change its process to use software for bookings. That requires the real thing handling real patients for a few weeks, because only real stakes produce real behavior. The same team might need both, in that order, for different questions.

What are the common mistakes with Prototype vs. MVP?

  • Calling a prototype an MVP because it took real engineering effort — effort doesn't make it usage.
  • Treating positive prototype reactions as product-market fit signal rather than as feasibility or usability signal, which is all a prototype can tell you.
  • Building a full MVP to answer a question a prototype would have settled in a day.
  • Skipping the prototype stage and discovering a fundamental usability problem only after real customers are already depending on the product.

Related concepts

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