A proof of concept (PoC) tests whether something can be built, a prototype tests whether people can use it, and a minimum viable product (MVP) tests whether people want it enough to adopt it. In the prototype vs MVP debate, build first whichever one removes your biggest unknown. For most startups with a clear technical path, that is a prototype or an MVP.
| Attribute | Proof of concept | Prototype | MVP |
|---|---|---|---|
| Question it answers | Can this be built? | Will people understand and use it? | Will people want and adopt it? |
| Risk it removes | Technical | Usability | Demand |
| Who sees it | Your team, technical advisers | Test users, investors, co-founders | Real early customers |
| What it is | A narrow experiment on one hard function | A clickable simulation of the experience | A real, usable product with the core feature only |
| Typical time | Days to about two weeks | About one to three weeks | Several weeks to a few months |
| Real data and users | Test data only | No, simulated | Yes |
| Code afterwards | Usually discarded | Rarely reused | Becomes version one |
A proof of concept shows a risky technical idea is feasible. A prototype shows what the product will look and feel like so people can react to it. An MVP is a working product with only the features needed to deliver its core value to real users and test whether they want it.
The three are often treated as steps on one ladder. They are better seen as three different tools. Each one retires a different kind of risk, and you only need the ones where you have a genuine doubt.
The UCSF Product Toolkit describes the MVP as the first iteration of a product with the minimum functionality to provide value to its users. Note the word value. A clickable mock-up delivers none, which is why a prototype can never stand in for an MVP.
A proof of concept answers one technical question: can this specific, uncertain thing work reliably? Examples are whether a model can classify your documents accurately, whether a third-party API returns data fast enough, or whether a sync between two systems holds up. It is a narrow experiment, not a product.
Almost nobody outside the team. A PoC often has no interface at all, just a script, a notebook or a bare page that runs the risky function against sample data. The audience is you, your technical co-founder and perhaps an adviser or a technical investor who needs convincing.
The most common PoC failure is running one with no definition of success. Agree the pass mark first, on data that looks like your real data. For example: "at least 9 in 10 of our sample invoices parsed correctly within five seconds each." That sentence turns a vague experiment into a decision.
Often not. A booking tool, a marketplace, a dashboard or an online shop built on well-known frameworks carries little technical doubt. Paying for a PoC there delays the work that does carry risk. A PoC earns its place with AI features, unusual hardware, heavy real-time loads or awkward integrations with legacy systems.
A prototype answers a usability question: will people understand this interface and complete the main task without help? It simulates the experience with clickable screens, so you can watch real people use it and fix confusing flows before paying for engineering. It has no working back end.
Prototypes usually take one to three weeks for a focused product, and simpler ones can take only days. The work belongs to the UI/UX design stage, using tools such as Figma. If you want to see how screens differ from clickable flows, our earlier post on wireframes versus prototypes covers the design artefacts. This article is about the build stage that comes after.
Prototypes work best in front of five to eight people from your target market, one at a time, while you stay quiet and watch where they hesitate. They also help with investor conversations, since a clickable flow explains an idea faster than a slide. Co-founders and early hires can finally argue about the same thing.
The University of Washington's Design Methods book makes a useful point: you don't always have to prototype, and if implementing the solution costs less than prototyping it, you might just build it. For a very small product, that logic can apply. For anything with several screens and a payment step, a prototype is cheaper than rewriting code.
Our UI/UX design service covers this stage, from flows to interactive prototypes in Figma.
An MVP answers a demand question: will real people use this product, come back to it, or pay for it? It is a working product with accounts, a database and the single core feature, put in front of actual early customers. It produces behaviour data that no simulation can.
A proper MVP involves real engineering. It is not a prototype with extra screens. Users sign up, their data is stored, and mistakes have consequences, so security, error handling and basic testing all count. The word "minimum" refers to the feature list, not to the quality of what you ship.
Real early customers, ideally people who already have the problem and will tell you plainly if it falls short. The Y Combinator MVP talk hosted by the Foundry at UVA covers how to choose an MVP feature set, test prototypes with users and present the MVP to early customers.
For web products we typically use React, Next.js, Node.js and Supabase, so the same code can grow into version one. The tradeoffs between backend options are covered in our Firebase vs Supabase comparison for MVPs. For mobile, we build with React Native, one codebase for iOS and Android. See our web development and app development services for the detail.
Prototype vs MVP is the comparison founders confuse most, because both can look finished on screen. The difference sits underneath. A prototype fakes the behaviour so you can test understanding. An MVP delivers the behaviour so you can test commitment. The table below sets them side by side.
| Factor | Prototype | MVP |
|---|---|---|
| Main purpose | Test understanding and flow | Test demand and retention |
| Back end | None, or faked | Real database, accounts, logic |
| Users | Test participants, in a session | Real customers, over days or weeks |
| Evidence produced | What people say and where they hesitate | What people do: sign-ups, return visits, payments |
| Main cost driver | Number of screens and flows | Features, integrations, security and testing |
| Fate of the work | Design guides the build; code rarely reused | Foundation of the live product |
| Typical time | About one to three weeks | Several weeks to a few months |
Be careful with one piece of evidence. People are polite in prototype sessions. A user who says "I would pay for that" is giving an opinion, and an MVP user who pays or returns is giving proof. Treat the two as different strengths of signal.
Name your single biggest unknown and build whatever tests it. If you cannot tell whether the technology works, start with a PoC. If you cannot tell whether people will understand the product, build a prototype. If you cannot tell whether anyone wants it, build an MVP.
Run through these questions in order and stop at the first yes:
Suppose a UK founder wants an app that reads supplier invoices and posts them to accounting software. The unknown is technical: can invoices with messy layouts be read reliably? She builds a one-week PoC with a pass bar of 9 in 10 sample invoices read correctly. It passes.
Her next unknown is whether bookkeepers will trust and understand the review screen, so she builds a clickable prototype and watches six bookkeepers use it. Two stumble on the approval step, and she redesigns it. Only then does she commission the MVP, with one integration and one user type. Each step cost less than the one after it, and each removed one specific doubt.
Now suppose a second founder wants a simple booking tool for local salons, using proven components. Nothing technical is in doubt. He skips the PoC, prototypes the booking flow for a few days and moves into an MVP. His mistake would be to add the PoC "to be safe".
Cost and time rise steeply from PoC to prototype to MVP. A PoC is the cheapest because it is narrow and disposable. A prototype costs more because it covers a whole experience. An MVP costs the most because it needs real engineering, testing and deployment. Exact quotes depend on scope.
Prototype timelines of one to three weeks are common for a focused product. MVPs take longer; in our own breakdown of the MVP feature prioritisation process, scope is the biggest lever on both time and money. Cutting features shortens an MVP more than any tooling choice does.
We do not publish fixed prices here, because the honest answer depends on the number of user types, integrations and compliance needs such as GDPR. A written scope is what makes a quote reliable. Our guide to writing an MVP feature scope document shows what to put in it.
Move on when the stage has produced the evidence it was designed to produce, measured against a pass mark set in advance. A PoC ends on a pass or fail result, a prototype ends when test users complete the main task unaided, and an MVP ends when real users show repeated use or payment.
If the PoC passes its bar, stop experimenting. Carry the learning into the design, not the code. If it fails, you have saved yourself an MVP. Either change the approach, narrow the feature, or drop it before more money goes in.
Move on when most test participants finish the core task without help and can explain the product back to you in their own words. If half of them get lost, redesign and test again. Building an MVP on a confusing flow turns a cheap design problem into an expensive code problem.
Decide your signal before launch: a number of active users, a return rate, or paying customers. If the signal appears, widen the product. If it does not, change the offer or the audience before adding features. Our post on deciding what to build first is useful for version two as well.
One question remains open in the industry: how much of a prototype's design effort should carry over into the MVP's front end. Teams disagree, and the right answer depends on whether the designers and developers work from one shared component library. We favour sharing it, but we would not call that settled.
We follow four steps on every project: Discovery and Planning, Design and Prototyping, Development and Testing, then Launch and Support. The first two stages are where a prototype is built and tested, so you decide on a PoC or MVP with evidence, not hope.
We are a lean studio based in Ahmedabad, India, with more than three years of operation, working remotely with startups and businesses across Europe, with overlap with CET afternoons. Our team covers UI/UX design, web development and app development, and we answer enquiries within two hours during business hours.
If you are weighing agencies, our guide on how to choose an MVP development agency sets out what to check. Projects we have built include Media Mates, MustQR, Sign Out, Solace Sofas, Nextn and Pehchaan. You can view all projects to see the range.
Look for a clear process, a written scope before pricing, a tech stack you can hire for later, and contact that responds quickly. Ask who owns the code, how testing is done and what support follows launch. An agency that pushes you to build more than your core feature is a warning sign.
Yes, and it is a sensible route when you want a prototype tested before engineering starts. The risk is a handoff gap, where designs ignore technical limits. Using one team for design and build, or agreeing a handoff format early, reduces that risk and rework.
Sometimes. For a small product with a familiar interface, you can go straight to an MVP and use the first live version to learn about usability. For a complex or high-stakes interface, a prototype is cheaper than fixing live code, so it is worth building first.
They are close. Both are short experiments that answer a technical question and are usually discarded. A PoC is more often shared outside the team to convince investors or partners, so it normally has a written pass mark and a short summary of results.
Write down the one thing you are least sure about, then build the smallest thing that settles it. That might be a one-week PoC, a clickable prototype or a focused MVP. If you would like a second opinion on which applies to your product, contact Axire Infotech at hello@axire.in and describe your idea.
You can also view all our services or read more articles on MVP development on our blog. For UK-based founders, our MVP development service guide for UK startups explains how an engagement runs from first call to launch.
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