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| Criterion |  Growth A/B Testing |  UX Research Tree Testing |  Product Discovery Hypothesis Prioritization Canvas |  UX Research First-click Testing |
|---|---|---|---|---|
Purposedifferent | 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 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 many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | 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 | High | Medium | Medium | Low |
Timedifferent | 1-4 Wochen | 1-2 Tage | 60-90 min | 1-2 Tage |
Participantsdifferent | 1-6 | Based on research question | 3-8 | 10-30 |
Formatdifferent | Async | Async | Workshop | Async |
Outputdifferent | Experiment results, Decision log, Learning summary | Findability Metrics, Path Analysis, Revised IA | Prioritization Canvas, Hypothesis Backlog | Click Heatmap, Success Rate, Design Recommendations |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | Information architectureNavigationFindability | ExperimentsPrioritizationDiscoveryHypothesis | UXNavigationFindabilityValidation |