PoC, prototype or MVP: choose the question first

Three tools, different questions

A proof of concept explores whether a technical approach is feasible. A prototype explores an interaction or design. An MVP puts a focused product into use so a team can learn from real behavior. The useful choice depends on what you need to know next.

Use a PoC for a technical uncertainty

For example, test whether a particular integration can provide the required information under representative conditions. Define a success criterion and the limits of the test. A successful experiment is not a production-ready system.

Use a prototype to examine a workflow

Let people attempt a task and explain what they expect to happen. Explore decisions, misunderstandings and missing states before investing in the full implementation. A polished prototype does not establish market demand on its own.

Use an MVP to learn from use

Build a limited but coherent experience for a defined group of users. Agree how usage, feedback and business evidence will inform the next decision. Essential reliability and support still matter.

Stop when the question is answered

Avoid turning every experiment into a miniature full product. Record what was learned, what remains uncertain and whether the evidence supports the next investment.

Write the question before building the experiment

A useful proof of concept has a specific uncertainty to resolve. For example: can an existing service provide the information needed for a workflow under the relevant access restrictions? That question is narrower than “can we build the product?” and can be tested with a defined setup.

Record the assumption, the test conditions, the evidence to collect and the result that would support the next decision. Include a limit on the experiment so that it does not quietly become an unfinished implementation.

Use representative conditions

Choose inputs that reflect the difficult parts of the intended use, not only a clean example. Consider the size and quality of the data, integration limits, permissions and relevant exception cases. Explain any shortcuts taken in the experiment.

A prototype can help people judge a proposed interaction. A technical proof of concept can test feasibility. Neither automatically demonstrates that a system is ready for daily operation, and each should be described according to the question it actually tested.

Make the result actionable

Document what worked, what failed and what remains uncertain. If the experiment supports proceeding, identify the production work still required: error handling, security controls, monitoring, maintainability, testing and operation within the rest of the system.

If the result is mixed, recommend a smaller follow-up test or an alternative approach. A useful outcome can be a decision not to pursue a costly direction. The value comes from reducing uncertainty before a larger commitment, with evidence that another reviewer can understand.

Explore the next step with Perspective Unity.