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| Criterion |  DevOps Game Day |  Growth A/B Testing |  Operations Root Cause Tree Analysis |  Operations Failure Mode and Effects 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. | 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. | For a process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability. |
Complexitydifferent | High | High | Medium | High |
Timedifferent | Halber Tag | 1-4 Wochen | 1-3 h | 2-6 h |
Participantsdifferent | 5-20 | 1-6 | 2-8 | 3-10 |
Formatdifferent | Workshop | Async | Workshop | Workshop |
Outputdifferent | Simulation Notes, Gaps List, Updated Runbooks | Experiment results, Decision log, Learning summary | Cause Tree, Evidence Notes, Countermeasures | FMEA Table, Risk Priority, Mitigation Actions |
Tagsno overlap | ResilienceOperationsIncident | ExperimentsGrowthAnalyticsValidation | Root causeTreeIncidentQuality | RiskQualityOperationsRoot cause |