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| Criterion |  UX Research Tree Testing |  Operations PDCA Cycle |  UX Research First-click Testing |  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. | For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode. | 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. | 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 | Low | High |
Timedifferent | 1-2 Tage | 1 h bis mehrere Wochen | 1-2 Tage | 1-4 Wochen |
Participantsdifferent | Based on research question | 1-8 | 10-30 | 1-6 |
Formatdifferent | Async | Workshop + async | Async | Async |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Click Heatmap, Success Rate, Design Recommendations | Experiment results, Decision log, Learning summary |
Tagsno overlap | Information architectureNavigationFindability | Continuous improvementLeanExperiments | UXNavigationFindabilityValidation | ExperimentsGrowthAnalyticsValidation |