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| Criterion |  UX Research Tree Testing |  Product Discovery Context Canvas |  Growth A/B Testing |  UX Research Card Sorting |
|---|---|---|---|---|
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 content only makes sense internally and users can't find the structure again, card sorting exposes their mental order. Terms, groups, and naming are then aligned with the target group's expectations. |
Complexitydifferent | Medium | Low | High | Low |
Timedifferent | 1-2 Tage | 45-90 min | 1-4 Wochen | 20-45 min |
Participantsdifferent | Based on research question | 3-10 | 1-6 | Based on research question |
Formatdifferent | Async | Workshop | Async | Workshop + async |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | Context canvas, Open questions, Shared context notes | Experiment results, Decision log, Learning summary | Content groups, Label set, IA hypotheses |
Tagsno overlap | Information architectureNavigationFindability | ContextFramingRequirementsCanvas | ExperimentsGrowthAnalyticsValidation | Information architectureNavigationStructure |