What Is an MVP? How to Build the Right First Version of Your Product

An MVP is the simplest product version that tests whether users want what you are building. AI tools changed how fast you can build one. Here is how to scope yours.

An MVP (Minimum Viable Product) is the simplest version of a product that lets you test whether real users want what you are building. It includes just enough functionality to solve the core problem, get into users' hands, and gather feedback — nothing more.

The concept comes from Eric Ries's Lean Startup methodology, but AI development tools have fundamentally changed what an MVP looks like and how fast you can build one.

What an MVP is (and is not)

An MVP is a functional product that solves one core problem. It works. Users can achieve their primary goal. It may lack polish, secondary features, and advanced functionality, but the core value proposition is testable.

An MVP is not a prototype, mockup, or landing page. These are validation tools that precede an MVP. A landing page tests whether people are interested. An MVP tests whether the product actually delivers value.

An MVP is not a broken or half-finished product. "Minimum" refers to feature scope, not quality. The features you include should work reliably. Users should not encounter crashes, data loss, or security failures. This is where production hardening matters — even for an MVP.

Why MVPs matter for service businesses

Service business founders have a unique advantage when building MVPs: they already know the problem intimately. You have been solving it manually, through consulting, through spreadsheets, through custom processes. You know what users need because you have delivered it hundreds of times.

The risk for service business founders is not building the wrong thing — it is overbuilding the first version. The temptation is to encode every feature of your methodology into v1. But the most important question an MVP answers is: "will users pay for the core workflow as software?" Everything else can come later.

The MVP spectrum in 2026

AI development tools have created multiple levels of validation before and including the MVP.

Concept test (hours, £0). Describe the product to ChatGPT or an AI app builder and generate screenshots or a clickable prototype. Show to potential users. Test interest.

Functional prototype (days, £0-50). Use Lovable or Bolt to generate a working application with placeholder data. Let users interact. Watch what they do, what confuses them, what they ask for.

Production MVP (30 days, £15-45K). A properly built application with real authentication, real data, payment processing, and the production hardening required to charge paying customers. This is what we build — the minimum product that generates revenue.

What to include in your MVP

The ruthless scoping question: "Can a user achieve the core outcome without this feature?" If yes, cut it from v1.

For service business MVPs specifically, include the core workflow that delivers your methodology's primary value, user authentication (non-negotiable for any product handling client data), basic payment processing if it is a paid product, and enough polish that users trust the product with their information.

Exclude secondary workflows that are "nice to have," admin dashboards and advanced reporting, integrations with third-party tools (unless core to the value), and features that address edge cases rather than the primary use case.

After the MVP

The MVP is the starting point, not the destination. Once launched, you measure usage, collect feedback, and iterate. The features you cut from v1 become the roadmap for v2 — but only the ones users actually request, not the ones you assumed they would need.

This is where ongoing development support matters. The post-launch iteration cycle — adding features, fixing issues, responding to user feedback — is what transforms an MVP into a growing product.