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| Criterion |  Operations PDCA Cycle |  UX Research Card Sorting |  Growth A/B Testing |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode. | 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 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 | Low | High | Medium |
Timedifferent | 1 h bis mehrere Wochen | 20-45 min | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 1-8 | Based on research question | 1-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Async | Async |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Content groups, Label set, IA hypotheses | Experiment results, Decision log, Learning summary | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | Continuous improvementLeanExperiments | Information architectureNavigationStructure | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandDiscovery |