A proof of concept (POC) is a small, often disposable piece of work built to answer one narrow question: is this technically possible at all? It's never shown to real customers, and it isn't meant to become the product.
What exactly is a POC, and what is it not?
A POC is typically built as fast as possible, often with the ugliest code that still gets the answer, and it's never shown to real customers. Nobody expects it to have a real user interface, error handling, or even a sensible file structure. Once it answers the yes-or-no question it was built for, its job is done — it's usually thrown away rather than extended.
How does a POC differ from a prototype?
A prototype answers a different kind of question — not "can we build this?" but "what would this look, feel, and flow like?" It's usually shown to a small internal audience — leadership, an investor, a design review — to gather feedback on the concept before real engineering work begins. Unlike a POC, a prototype is often built with a UI, even a clickable one, but the buttons might not be wired to anything real: it's a mockup of behavior, not working software. Still, like a POC, a prototype is not meant for real customers to rely on — it's a conversation tool, not a product.
How does a POC differ from an MVP?
A minimum viable product (MVP) is a different animal altogether: it's built for real users to actually use, and it has to deliver the product's core value, not just simulate it. Where a POC and a prototype are throwaway by design, an MVP is meant to be the foundation you keep building on — the first real version of the product, not a disposable exercise. It has to be reliable enough that a real customer trusts it with a real task, even if it's missing features and polish. Confusing an MVP with a POC is the most common — and costly — version of this mix-up: teams sometimes ship POC-quality code to real users because "it already works," then spend months paying down the technical debt of something that was never meant to survive contact with production.
POC vs. prototype vs. MVP at a glance
| POC | Prototype | MVP | |
|---|---|---|---|
| Question it answers | Is this technically possible? | What would this look and feel like? | Will real users get value from this? |
| Audience | Internal team / engineers only | Leadership, investors, internal reviewers | Real customers |
| Level of polish | None — throwaway code | Visual mockup, may not be functional | Functional and reliable, even if minimal |
| Typical lifespan | Days; usually discarded | Days to weeks; discarded or folds into design | Becomes the foundation of the product |
A concrete example: the same feature, three stages
Say a company wants to add a feature that automatically extracts data from a specific type of document customers upload. The POC tests one narrow question: can an AI model reliably pull the right fields out of this document type at all? An engineer feeds it a batch of sample documents and checks the accuracy of the output — no interface, no error handling, just a script and a spreadsheet of results. If the model gets it right often enough, the technical risk is resolved. The prototype comes next: a designer or product manager mocks up the screen where a user would upload a document and see the extracted fields, clicks through what happens if a field is wrong, and gathers feedback from the team on the flow — with the extraction itself possibly faked or hardcoded. The MVP is the real thing: an actual upload flow, wired to the actual, now-validated extraction model, with real error handling, running in production for a limited set of real customers who genuinely use it to process real documents.
When is a POC actually worth building?
A POC is worth the time when there's genuine technical uncertainty — a real chance the answer is "no, this doesn't work reliably enough" — and building it is meaningfully cheaper than not knowing. AI accuracy on messy real-world data, whether an integration can hit a latency target, whether an algorithm scales past a certain size — these are POC-shaped questions. A POC is the wrong tool, though, when the real risk isn't technical but commercial: whether customers actually want the feature, whether they'll pay for it, whether it fits their workflow. No amount of proving something is technically possible tells you whether anyone wants it — that question needs real users, which means it needs at least an MVP, not a POC.
Frequently asked questions
Is a POC the same as a prototype?
No. A POC tests technical feasibility — can this be built at all — usually with no interface. A prototype tests look, feel, and flow, usually with a mocked-up interface, once feasibility is no longer the open question.
Should a POC ever be shown to customers?
No. A POC is an internal engineering exercise built to answer one technical question, not a demo of the product. Showing it to customers sets expectations for a level of readiness that a POC — often throwaway code with no error handling — isn't built to meet.
Can a POC turn into an MVP?
Rarely, and it shouldn't be the goal. A POC proves an idea is technically possible using code that isn't meant to survive contact with real users. An MVP is typically built from scratch afterward, informed by what the POC learned, rather than by extending the POC's code.
How do I know if I need a POC or should just build an MVP?
If there's real doubt about whether something is technically achievable, build a POC first — it's far cheaper than discovering the answer inside a half-built MVP. If the technology is well understood and the real question is whether users want it, skip the POC and go straight to an MVP.