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Development

MVP

Also known as: minimum viable product, MVP development, minimum viable product version

Definition

An MVP is the first release of a product that carries exactly one user journey end to end, shipped in four to eight weeks so the demand hypothesis gets tested against real users and real payments rather than survey answers.

The point of an MVP is not cheapness, it is testability. You pick one journey that delivers complete value to the user, for example "the customer places a request, an operator handles it, the customer receives the result", and everything outside that journey waits. A settings dashboard, a referral programme, three admin roles, an Excel export: each looks small on its own, but together they turn a four-week launch into a four-month one, and the hypothesis stays untested the whole time.

The commercial logic is cost-of-error management. A full web application build on the Russian market starts somewhere around 300,000 RUB and three months of work, and if demand fails to materialise that money and time are written off in full. An MVP moves the test to four to eight weeks and a much smaller budget, and more importantly it produces numbers instead of opinions: how many people reached the target action, how many paid, which step lost them. That is the input that makes a funding conversation concrete.

The classic trap is confusing an MVP with a stripped-down version of everything at once. Minimum refers to the number of journeys, not to the quality of the one you keep: if the single working path is buggy, nobody thinks "well, it is only an MVP", they leave, and a perfectly good idea gets a false negative. The second trap is launching without measurement. An MVP with no analytics and no success criterion written down in advance is not an experiment, it is just a small product whose fate later gets argued about on gut feeling.

  • One journey works end to end; everything else is a stub or handled manually.
  • The success criterion is written in numbers before release: conversion, paid orders, cost per lead.
  • Analytics and events are wired up before launch, not after the first "how many leads did we get" question.
  • Manual operations are fine at the start: a human in the chat costs less than six months of automation.
  • Technical choices assume part of the code will be thrown away, not maintained for a decade.

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