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| Criterion |  Product Discovery Kano Model |  UX Research First-click Testing |  Growth A/B Testing |  Product Discovery Fake Door Test |
|---|---|---|---|---|
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 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 demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. |
Complexitydifferent | Medium | Low | High | Medium |
Timedifferent | 1-2 Tage | 1-2 Tage | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 10-50 | 10-30 | 1-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Async | Async | Async |
Outputdifferent | Kano Matrix, Feature Classes, Priority Themes | Click Heatmap, Success Rate, Design Recommendations | Experiment results, Decision log, Learning summary | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | SatisfactionPrioritizationCustomer | UXNavigationFindabilityValidation | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandDiscovery |