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| Criterion |  UX Research Tree Testing |  UX Research Card Sorting |  UX Research Surveys |  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. | 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. | When a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal. | 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 | Low | Medium | High |
Timedifferent | 1-2 Tage | 20-45 min | 3-14 Tage | 1-4 Wochen |
Participantsdifferent | Based on research question | Based on research question | 50+ | 1-6 |
Formatdifferent | Async | Workshop + async | Async | Async |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | Content groups, Label set, IA hypotheses | Survey Results, Charts, Segment Insights | Experiment results, Decision log, Learning summary |
Tagsno overlap | Information architectureNavigationFindability | Information architectureNavigationStructure | QuantitativeResearchValidation | ExperimentsGrowthAnalyticsValidation |