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| Criterion |  Operations Change Analysis |  Decision Making Cynefin Workshop |  Growth A/B Testing |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
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 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. | 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. |
Complexitydifferent | Medium | Medium | High | Low |
Timedifferent | 45-120 min | 60-180 min | 1-4 Wochen | 30-60 min |
Participantsdifferent | 2-6 | 4-20 | 1-6 | 1-5 |
Formatdifferent | Workshop + async | Workshop | Async | Workshop + async |
Outputdifferent | Change Matrix, Cause Hypotheses, Validation Questions, Action List | Cynefin Map, Domain-specific Actions, Sensemaking Notes | Experiment results, Decision log, Learning summary | Completed Experiment Canvas, Success Metric |
Tagsno overlap | ChangeRoot causeTroubleshootingComparison | ComplexitySensemakingDecision | ExperimentsGrowthAnalyticsValidation | ExperimentsValidationDiscoveryHypothesis |