mvp-definer

To define an MVP scope without building unnecessary features, use hypothesis-driven development to identify your riskiest assumptions. Apply frameworks like the Must/Should/Could/Won't matrix and the Least We Can Ship test to ruthlessly cut scope and focus purely on learning.

A Hypothesis Canvas supports lean startup validation by structuring your core assumptions into clearly defined problems, solutions, riskiest assumptions, and success metrics. It ensures your product development focuses on testing specific hypotheses rather than executing blind builds.

Prioritize Riskiest Assumption Tests (RATs) for a new SaaS product by identifying which assumptions, if false, would invalidate your entire business model. Select the smallest lean validation experiment, from customer interviews to functional MVPs, to test that specific assumption first.

You can use the Build-Measure-Learn cycle to decide whether to pivot or persevere by defining what to build, measuring success against predefined metrics, and evaluating the results. This structured learning loop guides your next steps based on validated learning rather than assumptions.

Lean validation does not require a functional MVP to test customer willingness to pay. You can select from various lean experiments, such as conducting interviews or using landing pages, to validate riskiest assumptions before committing resources to building a functional product.

You should avoid building a Minimum Viable Product when your riskiest assumptions remain untested by cheaper lean validation experiments. If customer problems or willingness to pay are completely unverified, conducting interviews or creating a Hypothesis Canvas must precede any functional build.