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| Criterion |  Product Discovery Kano Model |  UX Research First-click Testing |  UX Research Tree Testing |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | When features need to be distinguished by their effect on satisfaction, it makes expectations and surprises comparable. It separates basic needs, performance contribution, and delight. | 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 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 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 | 1-2 Tage | 1-2 Tage | 1-4 Wochen |
Participantsdifferent | 10-50 | 10-30 | Based on research question | 1-6 |
Formatdifferent | Workshop + async | Async | Async | Async |
Outputdifferent | Kano Matrix, Feature Classes, Priority Themes | Click Heatmap, Success Rate, Design Recommendations | Findability Metrics, Path Analysis, Revised IA | Experiment results, Decision log, Learning summary |
Tagsno overlap | SatisfactionPrioritizationCustomer | UXNavigationFindabilityValidation | Information architectureNavigationFindability | ExperimentsGrowthAnalyticsValidation |