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| Criterion |  UX Research Card Sorting |  Operations PDCA Cycle |  Product Discovery Assumption Mapping |  Growth A/B Testing |
|---|---|---|---|---|
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. | 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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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 | Low | Low | Medium | High |
Timedifferent | 20-45 min | 1 h bis mehrere Wochen | 45-60 min | 1-4 Wochen |
Participantsdifferent | Based on research question | 1-8 | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Content groups, Label set, IA hypotheses | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Assumption map, Test backlog, Risk ranking | Experiment results, Decision log, Learning summary |
Tagsno overlap | Information architectureNavigationStructure | Continuous improvementLeanExperiments | AssumptionsRiskExperimentsValidation | ExperimentsGrowthAnalyticsValidation |