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| Criterion |  Product Discovery Assumption Mapping |  UX Research First-click Testing |  UX Research Card Sorting |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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 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. |
Complexitydifferent | Medium | Low | Low | High |
Timedifferent | 45-60 min | 1-2 Tage | 20-45 min | 1-4 Wochen |
Participantsdifferent | 2-8 | 10-30 | Based on research question | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | Assumption map, Test backlog, Risk ranking | Click Heatmap, Success Rate, Design Recommendations | Content groups, Label set, IA hypotheses | Experiment results, Decision log, Learning summary |
Tagsno overlap | AssumptionsRiskExperimentsValidation | UXNavigationFindabilityValidation | Information architectureNavigationStructure | ExperimentsGrowthAnalyticsValidation |