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| Criterion |  UX Research Card Sorting |  Growth A/B Testing |  Product Discovery Experiment Canvas |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | 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. | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. | 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 | Low | High | Low | Medium |
Timedifferent | 20-45 min | 1-4 Wochen | 30-60 min | 1-5 Tage |
Participantsdifferent | Based on research question | 1-6 | 1-5 | Nutzertraffic |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | Content groups, Label set, IA hypotheses | Experiment results, Decision log, Learning summary | Completed Experiment Canvas, Success Metric | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | Information architectureNavigationStructure | ExperimentsGrowthAnalyticsValidation | ExperimentsValidationDiscoveryHypothesis | ValidationExperimentsDemandDiscovery |