MVP: What It Is and How to Build Yours

Summary: An MVP, or minimum viable product, is the leanest version of a product that works and can be used by real people to test the business’s main hypothesis. It helps validate an opportunity before investing in a complete product. This article explains what an MVP is, how it differs from a prototype and a proof of concept, how to build one in seven steps, which mistakes to avoid, and when it makes sense to get help.

MVP stands for minimum viable product. It is the leanest version of a product that works and can be used by real people to test the business’s main hypothesis before investing in everything that comes after. In this article, we explain the concept, show you how to build an MVP in seven steps, and outline when it makes sense to ask for help.

What is an MVP?

An MVP is the smallest product capable of answering a business question: do people want this, and will they use it? It does not need to have every feature. It needs to have the core user journey working well enough for a real user to go through it so you can learn from the results.

The term was coined in 2001 by Frank Robinson and popularized by Steve Blank and Eric Ries. In Ries’s definition, an MVP is the version of a new product that allows a team to collect the maximum amount of validated learning about customers with the least effort. The focus is on learning, not on launching a cheap product.

A note about the acronym: in sports and games, MVP also stands for most valuable player. This article is about the minimum viable product used in software and business development.

What is an MVP for?

An MVP helps validate an opportunity with evidence before committing budget, a team, and time. Instead of spending months building a complete product only to find out whether anyone wants it, you build the minimum, put it in users’ hands, and make decisions based on what you observe.

This changes the nature of the risk. With an MVP, the worst-case outcome is discovering early and with little investment that the hypothesis was wrong. Without one, the same discovery comes late and costs much more. That is why MVPs work for startups as well as product and innovation teams within established companies.

What is the difference between an MVP, a prototype, and a proof of concept?

The three terms are often used interchangeably, and there is no formal distinction that everyone agrees on. In practice, we use the distinction below, which is the most useful for deciding what to build.

Term	What it shows	Who uses it	Question it answers
Prototype	What the product will look and feel like, usually without actually working	Product and design team	Does the idea make sense to the people who see it?
Proof of concept (PoC)	That the solution is technically feasible	Technical team	Does it work from a technical standpoint?
MVP	A working product used by real people	Real users	Is this opportunity worth further investment?

An example helps. A team that wants to create an appointment-booking app might start with a screen prototype to test the flow. It might build a proof of concept to confirm that integration with the user’s calendar works. And only then would it build the MVP: an app that actually books appointments for a small group of real users. This is a hypothetical example to illustrate the sequence.

How do you build an MVP, step by step?

Every project is different, but a well-executed MVP usually involves these seven steps:

1. Define the problem and the audience. Who has the problem, what happens today, and why it matters. The more specific the audience, the easier it is to test.
2. Formulate the hypothesis and success metric. Write down in one sentence what you believe to be true (for example, "small clinics are willing to schedule appointments through the app") and how you’ll know if you were right, using a number.
3. Choose the primary journey. The path users take to get the product’s core value. This is what the MVP needs to deliver.
4. Cut everything else. List what’s out of scope for this first version. Cutting features is the hardest and most important part.
5. Build a product that works. Real, running software with the complete primary journey—not just screens. This is where timeline and technical quality matter.
6. Test with real users. Have people from the defined audience use the MVP, and observe what they do without explaining the product during the test.
7. Measure and decide. Compare the results against the metric from step 2 and choose whether to proceed, adjust the hypothesis, or stop. Stopping based on evidence is also a good outcome.

How do you decide what goes into the MVP?

The most useful rule is to ask, for each feature: without this, can I test the hypothesis? If the answer is yes, the feature stays out. If the answer is no, it goes in.

Include in the MVP	Leave out (for now)
The primary journey, from beginning to end	Secondary journeys and rare edge cases
The minimum visual identity needed to present the product clearly	Customization, themes, and interface refinements
The data needed to measure the success metric	Comprehensive reports and advanced dashboards
The integration the product needs to deliver value	Integrations that only make operations easier

This doesn’t mean delivering something poorly made. A lean MVP needs to do what it sets out to do well. In markets where users can easily switch products, such as mobile apps, an experience below expectations drives people away before they can test the hypothesis. What you cut is scope, not the quality of the primary journey.

What are the most common mistakes?

• Turning the MVP into the complete 1.0 version. The scope grows with every meeting, and user testing never happens. Keep it in check with a defined, prioritized scope from the start.
• Not having a hypothesis or a metric. Without them, any result can look like success, and you learn nothing that changes the decision.
• Building without talking to users. An MVP exists to be tested with real people. If no one uses it, it has become an internal project.
• Confusing a prototype with an MVP. Attractive screens can validate whether people like the idea, but not whether they use the product to solve the problem.
• Not making a decision after the test. An MVP without a decision ends up as a shelved product. Set a decision date before you begin.
• Forgetting about security and the technical foundation. Even a lean MVP handles people’s data. Decide on the minimum security requirements from the start.

How long does it take to build an MVP?

It depends on the scope, integrations, and team size. The starting point is a small, well-defined scope: the clearer the boundaries of the primary journey, the shorter the timeline.

At Premiersoft, the AI MVP Sprint delivers a functional MVP in up to 15 days, with the scope defined and prioritized on day one. In the PagueVeloz case study, the app MVP was delivered in 1 month of development, and the complete app in 3 months. These timelines apply to the scopes of those projects and aren’t a rule for every product: results vary depending on complexity and the number of integrations.

When should you get help building an MVP?

You can build the MVP with your in-house team, hire a software development company, or run an MVP sprint. The choice depends on three questions:

• Do you have an available team with the necessary roles (product, design, development, and quality)?
• Do you need results quickly so you can make a decision before committing to a larger budget?
• Do you already know which problem to solve, or do you still need help defining it?

If your team is busy, you’re missing the right roles, and you need to make a decision soon, a partner with an established process is usually faster. If you still don’t know which problem to solve, it’s worth starting with an IT strategy consulting service before building. And if your team wants to use AI in development without sacrificing quality, the article on spec-driven development outlines one approach.

How Premiersoft’s AI MVP Sprint works

The AI MVP Sprint is a validation sprint that delivers working software, not a prototype. It includes six components:

1. Opportunity definition: The problem, audience, hypothesis, and success metric are defined from day one.
2. Functional MVP: Running software with a controlled scope and one primary journey.
3. Testing with real users: Feedback from the people who will use the product, in a realistic use case.
4. Brand identity and landing page: The minimum needed to present the product clearly.
5. Validation plan: Evidence organized to help you proceed, adjust, or stop.
6. Demo and decision: A final presentation to consolidate the learnings and define the next step.

All code developed belongs to the client and is delivered with access to the project repository. The sprint isn’t complete software that’s ready to scale, nor is it a broad discovery of multiple opportunities. To get started, you speak with a specialist, have a discovery conversation, receive a proposal with the scope, team, and timeline, and the project begins after approval.

Want to validate an idea with a functional MVP? Learn more about the AI MVP Sprint and talk to a specialist.

Frequently asked questions about MVPs

What is an MVP?

MVP stands for minimum viable product: the leanest version of a product that works and can be used by real people to test the business’s main hypothesis before investing in a complete product.

What does MVP mean in projects?

In software and business projects, an MVP is the first functional version of a product, with the primary journey ready and a reduced scope. It’s used to validate with real users whether the opportunity is worth further investment.

Is an MVP the same as a prototype?

No. A prototype shows what the product will look and feel like, usually without actually working. An MVP is a working product used by real people to validate the hypothesis.

What’s the difference between an MVP and a proof of concept?

The proof of concept (PoC) shows that the solution is technically viable. An MVP is a working product used by real users to validate whether the opportunity is worth the investment.

How long does it take to build an MVP?

It depends on the scope and integrations. With a small, well-defined scope, delivery is possible within weeks. Premiersoft’s AI MVP Sprint delivers a functional MVP in up to 15 days, with the scope finalized and prioritized on the first day.

Who owns the code for an MVP developed by a company?

This needs to be specified in the contract. Ideally, the client owns the source code and has access to the repository from the start. In Premiersoft’s AI MVP Sprint, all code developed belongs to the client.

What should you do after the MVP?

Compare the results with the success metric defined before the test and decide whether to move forward and build the full version, adjust the hypothesis and test again, or stop. Stopping based on evidence is also a valid outcome because it avoids investing in something no one uses.

Keep reading

Software factory: Software factory: what it is and how it works

Spec-driven development: How to use AI in development without sacrificing quality

Service: AI MVP Sprint: a software MVP in up to 15 days

References

• Wikipedia. Minimum viable product.