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| Criterion |  Product Strategy Lean Canvas |  UX Research Usability Testing |  Growth A/B Testing |  Product Discovery Riskiest Assumption Test |
|---|---|---|---|---|
Purposedifferent | When an early product bet still has too many open points, it brings target group, problem, and assumptions into a single view. It condenses the idea so core risks become nameable. | When a product is built but people get stuck on tasks, usability testing shows the friction at concrete points. Observed use instead of self-report makes visible where orientation, understanding, or interaction breaks down. | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. | When an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report. |
Complexitydifferent | Medium | Medium | High | Medium |
Timedifferent | 45-90 min | 1-2 h je Session | 1-4 Wochen | 1-2 Wochen pro Iteration |
Participantsdifferent | 1-6 | Based on research question | 1-6 | 2-6 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Lean Canvas, Core Assumptions, Experiment Backlog | Usability Issues, Severity List, Recommendations | Experiment results, Decision log, Learning summary | Prioritized Assumption List, Test Plan, Results Report |
Tagsno overlap | StartupLeanAssumptionsBusiness model | ValidationUXPrototype | ExperimentsGrowthAnalyticsValidation | ExperimentsValidationDiscoveryAssumptions |