The Proof of Concept (POC) Sprint
Explore how to run a proof of concept sprint to test AI system approaches against real data and customer environments. Learn to manage access, validate data, build working outputs, and deliver clear demos. Understand how to measure success, handle unforeseen challenges, and guide decisions for next project phases.
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The scope document defines what to build and why. The proof of concept (POC) sprint tests whether that definition holds up under real implementation constraints.
A sprint is a focused execution phase with one goal: to answer the core question the scope document raised. Does this approach work, with this data, inside this customer environment? Everything in the sprint serves that question. Everything that does not bear on answering it stays outside the sprint scope.
Before any sprint begins, the FDE sets one expectation with the customer: by the end of the sprint, we will know whether this approach works. We will not have a production-ready system. Customers often expect a proof of concept to be a smaller version of the final product. The FDE’s job is to establish from the start that a sprint is something more specific than that.
What is a POC?
A proof of concept (POC) is a time-boxed experiment designed to answer one question before committing to a full build. The output is an answer, not a product. The sprint produces one of three findings:
The approach works as scoped and can move to the next phase.
The approach works with specific adjustments that need to be made before proceeding.
The approach does not work for this problem and this data.
All three are valid outcomes. The sprint succeeds when it produces a clear one.
The time box forces prioritization. When a sprint takes on more than the core hypothesis requires, it usually delivers nothing well and produces a weak answer to the question it was designed to test. ...