Tech
Our Approach to Developing an MVP (2026)
June 24, 2026
In 2021, the hard part of testing an app idea was building something. In 2026, you can vibe-code a clickable prototype over a weekend. So why do roughly 70% of app projects still fail before launch? Because the prototype was never the hard part. Knowing what to build is. Our approach to an MVP has shifted with that reality: it's no longer about building you a cheap version of the app, it's about making sure the version you build is the right one.
I'm Gareth, CTO at Foresight Mobile. We've been helping businesses turn ideas into real apps since 2017, and the single biggest change in that time isn't a framework or a platform, it's that producing something that looks like an app got cheap. This is our updated thinking on what an MVP is actually for in 2026, and how to use one without wasting your budget.
The definition hasn't changed. Eric Ries put it best in The Lean Startup: an MVP is the version of a product that lets you collect the most validated learning about customers with the least effort. Build the smallest thing that tests your riskiest assumption, measure what happens, learn, repeat. That loop still holds.
What's changed is what "least effort" looks like. In 2021, the cheapest way to learn whether an idea had legs was to build a bare-bones working app, put it in front of users, and see. The MVP was both the test and the thing you tested with. That's why the old version of this post treated an MVP largely as a cost-saving exercise: the minimum app you could build to pitch investors or prove a concept.
That framing is now out of date, and following it will cost you money.
AI tooling will get you a clickable front end fast. Screens, flows, components, a thing you can tap through and demo, in days rather than months. That's genuinely useful. But it has created a trap that catches a lot of founders: mistaking a prototype for validation.
A prototype proves you can make something that looks like an app. It does not prove anyone wants it. And the data on why apps fail is brutal on this point. Around 42% of startups fail because there was no market need for what they built. They didn't fail because the app was badly made; they failed because it was the wrong app, made well. A pretty prototype that solves the wrong problem just helps you fail faster and more convincingly.
There's a second catch. The clickable prototype is the easy 20%. Wiring up real authentication, a backend, a database, payment, and everything needed to handle real users safely, is the 80% that AI tools can't hand you. That gap between a demo and a product is where the real cost and risk still live, and it's exactly the work our vibe code to production service exists to do properly.
So if a prototype is no longer the validation, what is? It's the work that happens before you commit a production budget. This is the substance that's always been at the heart of how we approach an MVP, and in 2026 it matters more, not less:
Around 45% of features in software projects are never used. Scope creep affects more than half of all projects. The discipline above is what stops you paying to build things nobody wanted.
In 2021 this was an open-ended discovery process, and the honest problem with open-ended discovery is that clients can't see where it ends or what it costs. So we productised it. The App Gameplan is a fixed-price, four-week engagement that does exactly the validation work above and ends with a board-ready answer: what to build, what it'll cost, and whether it makes strategic sense.
It's £3,500, fixed, and the fee is credited against development if you decide to proceed. That structure is deliberate. It removes the risk from finding out whether your idea is worth building, which is precisely the decision that 70% of failed app projects got wrong. You're not buying a cheap app. You're buying confidence before you spend the real money.
Once you know what to build, the next job is to build it properly. That means production engineering an AI prototype can't give you, and it usually means cross-platform so one team and one budget covers both iOS and Android rather than paying to build twice. The MVP, in this model, isn't a throwaway cheap version. It's the focused first release of the right product, scoped down to the core that proves the concept, built to a standard you can grow on.
That's the real shift since 2021. You don't need a cheaper app. You need to be sure you're building the right one. We wrote more about why projects fall over in why 70% of app projects fail before launch, and there's a full breakdown of the money side in our guide to how much it costs to build an app.
If you've got an idea and you want a straight, board-ready answer on whether and what to build, get in touch or start with the App Gameplan.
What is an MVP in app development?
An MVP, or minimum viable product, is the smallest version of an app that lets you learn whether you're building the right thing. The goal is validated learning with the least effort, not a stripped-down app for its own sake. In 2026 the emphasis has moved from building cheaply to validating the right idea before you commit a production budget.
Isn't an AI-built prototype enough to validate my idea?
No. An AI prototype proves you can make something that looks like an app; it doesn't prove anyone wants it or that it solves a real problem. Around 42% of startups fail because there was no market need. Use a prototype to test flows and usability, but validate the problem and the audience separately, before you build for real.
How long does it take to validate an app idea?
Our App Gameplan does it in four weeks, fixed price, ending with a board-ready answer on what to build, what it'll cost, and whether it makes strategic sense. That's deliberately bounded so you know exactly where discovery ends before development begins.
Do I still need an MVP if AI can build a full app quickly?
Yes, arguably more than before. AI makes it easy to build a lot, quickly, which makes it easier to build the wrong thing at speed. An MVP keeps you focused on the smallest release that proves the concept, so you grow from validated demand rather than guesses.
