Selecting assumptions to investigate in a Proof of Concept
Selecting assumptions to investigate

How early validation reduces technical risk and builds stakeholder confidence.

A Proof of Concept (PoC) is a powerful mechanism to test feasibility before committing to full-scale development. It transforms uncertainty into actionable insight by answering one fundamental question: Can this be done? A well-defined PoC provides technical validation, reduces risk, and builds sponsor confidence — serving as a bridge between theory and implementation.

What Is a Proof of Concept?

A Proof of Concept is a small, controlled experiment designed to confirm whether a concept, technology, or approach will work in practice. It doesn’t aim to deliver a finished product but rather to demonstrate feasibility. Unlike prototypes or MVPs, PoCs focus on proving that something can be built — not how it looks or how users interact with it.

Why PoCs Matter

Projects fail most often not because of poor execution, but because of flawed assumptions. A PoC challenges these assumptions early by creating evidence instead of opinions. The benefits include:

• Risk reduction through early technical validation.

• Greater stakeholder confidence and support.

• Clearer decision-making data for go/no-go gates.

• Reduced rework and faster downstream delivery.

PoC vs Prototype vs MVP

While closely related, these artefacts serve distinct purposes. A PoC proves that something can work. A prototype demonstrates how it might work. An MVP delivers a minimal working product to test market or user reactions.

  • Proof of Concept – Tests feasibility (‘Can it be done?’)
  • Prototype – Tests form and function (‘What will it look and feel like?’)
  • MVP – Tests user and market response (‘Will people use or pay for it?’)

Types of PoCs

PoCs can take several forms depending on the problem domain:

  • Technical PoC – Tests integration, algorithms, or system performance.
  • Process PoC – Validates operational feasibility or workflow design.
  • Business PoC – Tests commercial potential, regulatory fit, or demand.

Planning a PoC

A successful PoC is sharply focused and time-boxed. Define one hypothesis to prove or disprove, decide how success will be measured, and use the simplest tools possible to generate credible data. Document assumptions, results, and next steps.

The Spiral Model and experiments

In the Spiral Model, each iteration includes risk analysis, prototyping, and validation. PoCs play a vital role in the ‘risk resolution’ phase — acting as controlled experiments that validate key uncertainties before major commitments are made.

Summary

A Proof of Concept is where ideas meet evidence. It’s an essential project management tool for de-risking innovation and ensuring that investment decisions rest on facts, not assumptions.