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| Criterion |  DevOps Game Day |  Growth A/B Testing |  Operations Fishbone Diagram |  Operations Root Cause Tree Analysis |
|---|---|---|---|---|
Purposedifferent | In preparing for rare incidents, the method tests response capability under controlled conditions. It shows where assumptions about stability, roles, and recovery are too optimistic. | 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 a problem has several possible contributing factors, the method sorts causes by cause areas. It prevents an initial hunch from blocking the view of other plausible drivers. | For a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie. |
Complexitydifferent | High | High | Low | Medium |
Timedifferent | Halber Tag | 1-4 Wochen | 30-60 min | 1-3 h |
Participantsdifferent | 5-20 | 1-6 | 2-8 | 2-8 |
Formatdifferent | Workshop | Async | Workshop | Workshop |
Outputdifferent | Simulation Notes, Gaps List, Updated Runbooks | Experiment results, Decision log, Learning summary | Fishbone Diagram, Cause Categories, Investigation Backlog | Cause Tree, Evidence Notes, Countermeasures |
Tagsno overlap | ResilienceOperationsIncident | ExperimentsGrowthAnalyticsValidation | Root causeQualityOperations | Root causeTreeIncidentQuality |