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| Criterion |  Product Strategy Lean Canvas |  Product Discovery Assumption Mapping |  UX Research First-click Testing |  Growth A/B Testing |
|---|---|---|---|---|
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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | When users immediately turn the wrong way on a screen or wireframe, first click testing checks initial orientation at high speed. The first click shows early whether expectation, labeling, and wayfinding fit together. | 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. |
Complexitydifferent | Medium | Medium | Low | High |
Timedifferent | 45-90 min | 45-60 min | 1-2 Tage | 1-4 Wochen |
Participantsdifferent | 1-6 | 2-8 | 10-30 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async | Async |
Outputdifferent | Lean Canvas, Core Assumptions, Experiment Backlog | Assumption map, Test backlog, Risk ranking | Click Heatmap, Success Rate, Design Recommendations | Experiment results, Decision log, Learning summary |
Tagsno overlap | StartupLeanAssumptionsBusiness model | AssumptionsRiskExperimentsValidation | UXNavigationFindabilityValidation | ExperimentsGrowthAnalyticsValidation |