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| Criterion |  UX Research Tree Testing |  Engineering Failure Scenario Analysis |  Product Discovery Assumption Mapping |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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. | In critical processes, it is not enough to plan only for the normal case. Failure Scenario Analysis looks at the path into failure and shows which failures, chains, and control gaps cause the most damage. | 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 Tage | 1-3 h | 45-60 min | 1-4 Wochen |
Participantsdifferent | Based on research question | 3-8 | 2-8 | 1-6 |
Formatdifferent | Async | Workshop | Workshop + async | Async |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Assumption map, Test backlog, Risk ranking | Experiment results, Decision log, Learning summary |
Tagsno overlap | Information architectureNavigationFindability | FailureResilienceRisk | AssumptionsRiskExperimentsValidation | ExperimentsGrowthAnalyticsValidation |