What is an MVP and how does it fit into the build-measure-learn loop?

• A. A full product release; skipping iteration.
• B. A plan to maximize profits before building; measure only revenue.
• C. A minimal product to test core assumptions; build, measure user response, learn to iterate or pivot.
• D. A marketing tactic with no product relevance.

Answer: (C)

An MVP is a minimal product built to test a key idea with the least amount of effort, focusing on delivering the core value to early users rather than releasing a full-featured version. It’s not about a complete launch or marketing tactics; it’s about learning fast from real user interactions.

In the build-measure-learn loop, you start with a hypothesis about what customers need and how they’ll respond. You build an MVP that can test that hypothesis, then you measure relevant, actionable data from real usage or behavior. Finally, you learn from that data whether to persevere with the current approach, pivot to a different solution, or stop pursuing the idea. This learning guides the next iteration, refining the product based on actual feedback rather than assumptions.