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| Criterion |  Operations Change Analysis |  Operations Fault Tree Analysis |  Growth A/B Testing |  Operations Barrier Analysis |
|---|---|---|---|---|
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. | For a critical top event with several possible triggers, the method logically models failure paths. It makes visible which combinations of conditions can lead to damage. | 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 risk that can only be managed through multiple layers of protection, the method examines the effectiveness of each barrier. It shows where safeguards are missing, too weak, or fail under real conditions. |
Complexitydifferent | Medium | High | High | Medium |
Timedifferent | 45-120 min | 2-6 h | 1-4 Wochen | 2-4 h |
Participantsdifferent | 2-6 | 3-8 | 1-6 | 2-6 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Change Matrix, Cause Hypotheses, Validation Questions, Action List | Fault Tree, Critical Paths, Cause Hypotheses, Control Actions | Experiment results, Decision log, Learning summary | Barrier Inventory, Failure Analysis per Barrier, Action Backlog |
Tagsno overlap | ChangeRoot causeTroubleshootingComparison | RiskRoot causeSafety | ExperimentsGrowthAnalyticsValidation | Root causeSafetyIncident |