Skip to content

minimum viable product (MVP)

A minimum viable product, or MVP, is the smallest version of a new product a team can put in front of real users to learn whether the idea is worth building further. Its purpose is to answer a concrete question about what customers want as fast as possible, so the next round of effort goes toward something validated rather than assumed.

The term was coined by Frank Robinson in 2001 and later popularized by Steve Blank and Eric Ries. In his 2011 book The Lean Startup, Ries defines an MVP as “that version of a new product which allows a team to collect the maximum amount of validated learning about customers with the least effort.” Despite the name, he stresses, the aim is the speed of that learning, not the smallest possible feature set.

That first release kicks off a build-measure-learn loop, where each turn feeds the next:

Top-down flow from a teal "Ship the MVP" box through "Build smallest slice" and "Measure real usage" to a yellow "Learn what is validated" box, with a dotted "next build" arrow looping back to build.
Each MVP turns the build, measure, learn loop once, then feeds the next build.

How It Shows Up in Practice

A Python developer meets the MVP idea in sprint planning, where a long backlog of ideas is cut down to the few features that make up a first releasable slice. That cut is the whole skill, because each candidate is kept only if the product still teaches the team something real without it. A backlog often carries that decision as a single split between the must-haves and everything else:

Language: Text 
MVP for a project-sharing app
  ship now    email signup, create project, share project link
  defer       single sign-on, team workspaces, dark mode

In code, an MVP is usually a thin prototype that does one thing end to end, such as a single Flask or FastAPI route, a command-line script, or a landing page with a signup form and no backend behind it. It tends to ship as a 0.x release under semantic versioning, where the leading zero signals that the public interface is still unstable.

What counts as viable is fixed ahead of time by the release’s definition of done, so minimum never turns into an excuse to ship something broken.

Common Pitfalls

The most common failure is building too much. A team keeps adding one more feature until a release meant to test an assumption in two weeks takes four months, and the chance to learn early is gone. The opposite failure is shipping something so thin it isn’t viable at all, since a product that crashes or solves nothing teaches the team about its own bugs rather than about its customers.

A subtler trap is treating the MVP as the finished product. The shortcuts that make an MVP fast, such as hard-coded values, a single-file design, and skipped edge cases, are deliberate technical debt that has to be paid down once the idea proves out. The habit that keeps an MVP honest is committing in advance to act on what it measures, whether that means a quick smoke test of demand or a full build-out of the validated feature.

Build a Scalable Flask Web Project From Scratch

Course

Creating a Scalable Flask Web Application From Scratch

In this video course, you'll explore the process of creating a boilerplate for a Flask web project. It's a great starting point for any scalable Flask web app that you wish to develop in the future, from basic web pages to complex web applications.

intermediate flask front-end web-dev

For additional information on related topics, take a look at the following resources:

By Martin Breuss • Updated June 22, 2026
Software Engineering Glossary Share Feedback