When someone says they want to build an MVP, the conversation usually drifts quickly toward features: what screens it will have, whether it needs a mobile app or just a web version, whether there will be notifications. That conversation is necessary — but it is arriving too early.
The problem is not thinking about features. The problem is starting there. Without a validation framework in place first, any technical decision is a blind bet. And blind bets in software tend to be expensive.
This article is for those who are in that earlier stage: they have an idea, they are considering building an MVP, and they want to know what decisions to make before talking to any technical team.
The most common cause of MVP failure is not the code or the team. It is a lack of clarity about what is actually being validated. This leads to poorly defined scopes, endless iterations, and products that do not fit what the market actually needed.
Validating before building does not mean running market research for months. It means making five concrete decisions that turn an idea into a well-formulated problem.
Before anything else, write down the hypothesis the MVP will test. Not the product vision, not the investor pitch — a concrete, falsifiable business hypothesis.
A good hypothesis follows this structure: “We believe that [specific user profile] has the problem of [concrete problem] and is willing to [measurable action] to solve it.”
If you cannot phrase it that way, the MVP is not ready to be built. That difficulty is not a signal to keep refining the hypothesis — it is a signal that there is not yet enough clarity about the business itself.
An MVP cannot validate anything if it is not clear who it is for. “SMEs that need to digitise” is not a segment — it is a universe. “Accounting firms with between 5 and 20 employees managing payroll in Excel” is.
The specificity of the segment has direct consequences for product design. The flow of an application for a freelancer is radically different from one for a company with multiple departments, even if both are about invoice management.
The more concrete the segment, the easier it will be to make product decisions during development — and the more useful the data will be once the product launches.
The most common mistake when defining an MVP is confusing “minimum” with “incomplete.” An MVP is not a product with things missing. It is a product that does one specific thing well.
To identify that minimum flow, ask this question: What is the shortest path a user can take to get the value the product promises?
That path is the heart of the MVP. Everything outside of it is a candidate to be removed from scope — not forever, but for the first version.
Examples of well-defined minimum flows:
Booking platform: search availability → choose a time slot → confirm booking → receive email confirmation.
Management SaaS: register → create the first project → add a task → mark it as complete.
Marketplace: list a product → have it appear in the catalogue → receive a purchase request.
If the minimum flow has more than five or six steps, there is probably room to simplify it further.
An MVP without pre-defined success metrics cannot be evaluated. And if it cannot be evaluated, no informed decision can be made about what to do next.
MVP success metrics do not need to be sophisticated. They need to be honest and measurable:
How many users complete the main flow without assistance?
How many come back after using it for the first time?
How many are willing to pay, even a small amount?
How many would recommend the product to someone in their network?
With those answers defined before launch, the team knows exactly what data to collect and how to interpret the results. Without them, post-launch analysis is subjective and usually ends in conclusions that justify whatever was already planned.
This is perhaps the hardest decision and the most important one. Defining an MVP scope is not just deciding what to build — it is committing to what will not be built in this iteration.
Some useful questions for deciding what stays out:
Does this feature help validate the central hypothesis, or is it an experience enhancement?
Can the user complete the minimum flow without it?
Is this feature on the list because it is necessary or because someone requested it?
Does adding this push the launch back by more than a week?
If the answer to any of these questions suggests the feature is not essential for validating the hypothesis, it is out of the MVP. No negotiation.
With these five decisions made, the conversation with a development team changes entirely. Instead of saying “we want to build something like this,” there is a hypothesis, a segment, a defined flow, a set of metrics, and a scope. That is what makes it possible to give an honest estimate, a real budget, and a timeline that can actually be met.
Without that preparation, any technical proposal is an estimate built on nothing.
Our clients' satisfaction is our best introduction.
"Tengo un negocio de Paquetería, en el que vienen muchas personas diariamente, tanto para recoger como para dejar paquetes. Llevábamos años gestionando muchos de nuestros procesos de paquetería de forma manual, y gracias a Blimbur Technologies hemos dado un salto enorme. Nos desarrollaron una app móvil y una web totalmente adaptadas a nuestro flujo de trabajo, con las que ahora tenemos todo automatizado, trazable y mucho más rápido. Ahora, el cliente sabe si tenemos el paquete y al estar todo mucho más organizado, es mucho más rápido y ágil, lo que hace que los clientes vengan y se vayan con otra cara y sin esperas. El trato ha sido impecable y el resultado, todavía mejor. Un equipo serio, técnico y que se implica de verdad."
