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| Criterion |  UX Research Usability Testing |  UX Research Tree Testing |  Product Discovery Assumption Mapping |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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 a navigation exists but search paths still fail, tree testing checks findability without visual distraction. The method shows whether labels, levels, and paths really lead to the intended destination. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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 | Medium | High |
Timedifferent | 1-2 h je Session | 1-2 Tage | 45-60 min | 1-4 Wochen |
Participantsdifferent | Based on research question | Based on research question | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | Usability Issues, Severity List, Recommendations | Findability Metrics, Path Analysis, Revised IA | Assumption map, Test backlog, Risk ranking | Experiment results, Decision log, Learning summary |
Tagsno overlap | ValidationUXPrototype | Information architectureNavigationFindability | AssumptionsRiskExperimentsValidation | ExperimentsGrowthAnalyticsValidation |