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| Criterion |  Operations PDCA Cycle |  Growth A/B Testing |  UX Research Affinity Diagramming |  Product Discovery Assumption Mapping |
|---|---|---|---|---|
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 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 research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitydifferent | Low | High | Low | Medium |
Timedifferent | 1 h bis mehrere Wochen | 1-4 Wochen | 45–90 min | 45-60 min |
Participantsdifferent | 1-8 | 1-6 | 3-10 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop | Workshop + async |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Experiment results, Decision log, Learning summary | Theme clusters, Insight statements, Opportunity areas | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | Continuous improvementLeanExperiments | ExperimentsGrowthAnalyticsValidation | SynthesisQualitativeRoot cause | AssumptionsRiskExperimentsValidation |