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| Criterion | ![]() Product Strategy Lean Canvas | ![]() UX Research Usability Testing | ![]() Growth A/B Testing | ![]() Innovation Lean Startup |
|---|---|---|---|---|
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. | For uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight. |
Complexitydifferent | Medium | Medium | High | Medium |
Timedifferent | 45-90 min | 1-2 h je Session | 1-4 Wochen | Wochen bis Monate je Lernzyklus |
Participantsdifferent | 1-6 | Based on research question | 1-6 | 2-8 |
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 | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision |
Tagsno overlap | StartupLeanAssumptionsBusiness model | ValidationUXPrototype | ExperimentsGrowthAnalyticsValidation | LeanStartupValidationMVP |



