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| Criterion |  Operations Change Analysis |  Product Discovery Smoke Test |  Decision Making Cynefin Workshop |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | For a deviation after a change, the method isolates the influence of the altered condition. It narrows down which differences are relevant and which are just accompanying noise. | When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | When problems are unclear, chaotic, or only seemingly familiar, standard recipes fall short. A Cynefin Workshop sorts situations by the nature of their problem and connects them with matching action logic. | 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 | Medium | High |
Timedifferent | 45-120 min | 1-5 Tage | 60-180 min | 1-4 Wochen |
Participantsdifferent | 2-6 | Nutzertraffic | 4-20 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop | Async |
Outputdifferent | Change Matrix, Cause Hypotheses, Validation Questions, Action List | Interest Metrics, Conversion Signal, Learning Note | Cynefin Map, Domain-specific Actions, Sensemaking Notes | Experiment results, Decision log, Learning summary |
Tagsno overlap | ChangeRoot causeTroubleshootingComparison | ValidationExperimentsDemandGrowth | ComplexitySensemakingDecision | ExperimentsGrowthAnalyticsValidation |