validation-frameworks

Product validation systematically tests assumptions about problems and solutions through customer interviews, landing page tests, and prototypes. Start by identifying your riskiest assumptions, then design low-fidelity experiments—like user interviews or surveys—to test desirability before investing in development.

Problem validation confirms customers actually face the pain you're addressing; solution validation tests whether your proposed fix resonates. Problem validation typically uses interviews and observation; solution validation uses prototypes, MVPs, and landing pages to measure intent or adoption.

Define your critical assumptions, state them as testable hypotheses, choose a validation method matched to fidelity level, set measurable success criteria upfront, and run the experiment with real users. Start low-fidelity—interviews or canvases—before prototyping or MVP testing.

Yes. Validation applies to new features and pivots in mature products. Use the same frameworks—problem validation, assumption testing, and experiment design—to de-risk feature decisions and reduce wasted development effort.

MVPs are high-fidelity validation tools suited for testing solutions after problem validation succeeds. Combine MVP releases with metrics and success criteria to measure actual user behavior, engagement, and retention before full-scale development.

Use low-fidelity validation methods early—interviews, landing pages, and canvases—to eliminate risky assumptions cheaply before building. This frontloads learning, reduces costly pivots, and focuses development effort on validated opportunities.