Building an MVP: from idea to working software

What exactly is an MVP?

An MVP (minimum viable product) is the most stripped-down version of your software that still solves a real problem. Core functionality only, no nice-to-haves. The goal is not to ship something half-finished, but to test the assumption behind your idea: do people use this, and does it solve their problem?

The confusion usually sits in the word minimum. An MVP is minimal in scope, not in quality. What you build has to work, be reliable, and be pleasant to use. You leave out features, not care.

Concretely: instead of a full planning system with invoicing, reporting, and a mobile app, you first build only the part your client struggles with every day. If that works, you expand based on what you have learned.

From idea to working software in short iterations

We work in short iterations of one to two weeks. At the end of each iteration there is something you can see and use, not slides or documents. That way you always know where your money is going and can adjust before it gets expensive.

Our way of working is simple: get acquainted, scope and plan, build in short iterations, launch and continue. The discovery phase at the start decides what belongs in the first version and what can wait. That is the hardest part of building an MVP: not what you add, but what you leave out.

This fits agile software development in short iterations. Martin Fowler explains well why delivering early and often carries less risk than a single big-bang release.

• Iteration 1-2: solve the core problem, live for a small group of users
• Iteration 3-4: refine based on real feedback, not assumptions
• After that: expand with features that add proven value

What does building an MVP cost?

An honest answer: it depends on the scope. In the Dutch market, MVP projects roughly range from 5,000 to 25,000 euro, depending on how much has to go into that first version. Small, tightly scoped MVPs sit at the lower end, more complex ones at the top.

More important than the exact figure is how you spend it. By working in short iterations, you pay for working software, not for a thick plan that turns out to be wrong after three months. You can stop or change course after each iteration.

If you want to dig into the numbers, read the cost of custom software. And if you are unsure whether custom is the right route at all, having custom software built will help.

When you should not build an MVP (yet)

Not every idea is ready for an MVP. Sometimes you still know too little about the problem. Then a short discovery phase or a throwaway prototype is smarter: you test the assumption with a clickable design or a manual process before writing a single line of code. That costs less and gives just as much insight.

Sometimes the solution already exists. If an off-the-shelf tool solves 80 percent of your problem, building an MVP is rarely the cheapest route. Start with a standard tool and only build custom once you hit its limits.

And sometimes the problem is too big for an MVP. For systems with hard requirements around safety, compliance, or integrations, you cannot simply drop half of it. In that case an MVP is not wrong, but the scoping is different. In all these cases the honest question is: what is the cheapest way to learn whether this works?

Small senior team versus a large agency

At a large agency, a lot of time goes into coordination: account managers, project managers, handovers between people who do not know your idea first-hand. For an MVP, that is often a brake rather than an accelerator.

There are two of us, both senior developers with twenty-plus years in the field. You talk to the people who also build. Decisions land in the same conversation where they are raised, and that saves weeks. For a small development team versus a large agency, that is the real difference: fewer links between idea and code.

That does not mean small is always better. For a large, long-running programme with dozens of people, scale has its place. But for going from idea to working software in an MVP, a small, experienced team is usually faster and cheaper. More on this in how to choose a software agency.

And when your MVP works: what next?

A successful MVP is a beginning, not an endpoint. Once you notice that users keep coming back, you expand based on what you have learned. That is the moment to think about integrations with your existing systems or smarter automation.

Increasingly, that next step involves AI. Think of integrating AI into business software to take repetitive work off your hands, or having an AI agent built that handles a task on its own. If you look at the process more broadly, improving business processes with AI offers more starting points.

The common thread stays the same: start small, learn fast, expand what works. That way you keep control of your budget and your direction.