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| Criterion |  UX Research Tree Testing |  Product Discovery Context Canvas |  Growth A/B Testing |  Product Discovery Smoke Test |
|---|---|---|---|---|
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. | When an environment of users, systems, and constraints is hard to grasp, it puts the context compactly on the table. It creates a clear reading of influence, boundary, and dependency. | 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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. |
Complexitydifferent | Medium | Low | High | Low |
Timedifferent | 1-2 Tage | 45-90 min | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | Based on research question | 3-10 | 1-6 | Nutzertraffic |
Formatdifferent | Async | Workshop | Async | Async |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | Context canvas, Open questions, Shared context notes | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | Information architectureNavigationFindability | ContextFramingRequirementsCanvas | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth |