Prototype, Proof of Concept (POC), or MVP: What is the Difference?
Understand when to use a Prototype, POC, or MVP and which core business question each approach answers.
Erlan Carreira
Software Engineer & Entrepreneur
Prototype, proof of concept, and MVP are not mandatory stages nor synonyms. Each artifact addresses a different uncertainty. The prototype tests understanding and flow; the POC tests technical feasibility; the MVP delivers real value and measures behavior in a limited operation.
Direct Comparison
| Artifact | Main Question | Production? | Real User? | Expected Outcome |
|---|---|---|---|---|
| Prototype | Do people understand and can they use the flow? | No | May participate in the test | Usability evidence |
| POC | Is the technology, integration, or performance viable? | Not necessarily | Generally does not depend on continuous use | Technical evidence |
| MVP | Does the product deliver value and generate adoption? | Yes, with limited scope | Yes | Behavioral and commercial evidence |
When to Use a Prototype
Use a prototype to explore navigation, language, hierarchy, and task sequence before funding implementation. It can range from paper to a navigable interface. Define tasks and observe behavior; do not turn the session into a guided presentation.
A prototype does not validate security, data consistency, or real integration. It also does not prove purchase intent. Praise about appearance is interface feedback, not business evidence.
When to Use a POC
The proof of concept isolates a risky technical question: does an API support the volume? Does the model achieve sufficient accuracy? Is it possible to process a legacy file? The goal is to learn quickly, not to create the production base.
Define input, condition, metric, and limit. A performance POC, for example, needs volume, latency, and target cost. When finished, document what can or cannot be reused. Experimental code often requires review before operating real data.
When to Use an MVP
Use an MVP when the uncertainty depends on delivering and repeating value. It needs a complete journey, real users, protected data, and a way to operate and support the pilot. The scope is minimal; the responsibility is not.
Metrics include activation, time to value, task completion, return, and commercial commitment. An MVP can use manual processes behind the scenes, as long as this is safe, transparent to the team, and measurable.
How to Combine the Three
Imagine a SaaS that classifies documents. A prototype tests upload and review. A POC measures quality and cost of the classifier with permitted data. The MVP connects upload, classification, human review, history, and outcome for a segment. Each stage has its own question and criteria.
Do not advance by calendar. Advance when the evidence reduces the uncertainty that justified the artifact. If the prototype shows that the flow is not understood, building the complete POC does not solve the experience problem. If the POC fails to meet the target cost, an MVP only amplifies the risk.
Selection Checklist
- What is the biggest current uncertainty: use, technique, or value?
- Which artifact answers only that question?
- What data and people are needed?
- What is the success and failure criteria?
- Does the test involve personal or sensitive data?
- What will be discarded at the end?
- What decision does each result enable?
Primary Sources
Before choosing the artifact, see how to validate a SaaS idea. When the test requires real operation, learn about our MVP SaaS service.
Erlan Carreira
Software Engineer & Entrepreneur
Specialist in software development, automation, and SaaS. I write about technology, digital business, AI, and engineering practices for teams committed to execution excellence.