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| Criterion |  Operations Fault Tree Analysis |  Growth A/B Testing |  Innovation Design Sprint |  Operations Barrier Analysis |
|---|---|---|---|---|
Purposedifferent | 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. | When the product question is unclear and time pressure is high, the method takes a team from an open idea to a testable solution. It connects problem understanding, decision, and learning in one compact format, lowering the risk of spending a lot of energy on a mere guess. | 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 | High | High | High | Medium |
Timedifferent | 2-6 h | 1-4 Wochen | 4-5 Tage | 2-4 h |
Participantsdifferent | 3-8 | 1-6 | 5-8 | 2-6 |
Formatdifferent | Workshop + async | Async | Workshop | Workshop + async |
Outputdifferent | Fault Tree, Critical Paths, Cause Hypotheses, Control Actions | Experiment results, Decision log, Learning summary | Prototype, Test Findings, Decision Rationale | Barrier Inventory, Failure Analysis per Barrier, Action Backlog |
Tagsno overlap | RiskRoot causeSafety | ExperimentsGrowthAnalyticsValidation | Design sprintPrototypeValidationInnovation | Root causeSafetyIncident |