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| Criterion |  UX Research Tree Testing |  UX Research Card Sorting |  Growth A/B Testing |  UX Research First-click 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 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 users immediately turn the wrong way on a screen or wireframe, first click testing checks initial orientation at high speed. The first click shows early whether expectation, labeling, and wayfinding fit together. |
Complexitydifferent | Medium | Low | High | Low |
Timedifferent | 1-2 Tage | 20-45 min | 1-4 Wochen | 1-2 Tage |
Participantsdifferent | Based on research question | Based on research question | 1-6 | 10-30 |
Formatdifferent | Async | Workshop + async | Async | Async |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | Content groups, Label set, IA hypotheses | Experiment results, Decision log, Learning summary | Click Heatmap, Success Rate, Design Recommendations |
Tagsno overlap | Information architectureNavigationFindability | Information architectureNavigationStructure | ExperimentsGrowthAnalyticsValidation | UXNavigationFindabilityValidation |