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| Criterion |  Operations Fault Tree Analysis |  Growth Hooked Model |  Growth A/B Testing |  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. | The Hooked Model helps clarify engagement loops, user behavior, and experiments. It makes repeat behavior measurable and captures the result as a hooked loop, trigger map, and reward design. | 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 | High | Medium | High | Medium |
Timedifferent | 2-6 h | Multiple workshops over several weeks | 1-4 Wochen | 2-4 h |
Participantsdifferent | 3-8 | 2-8 | 1-6 | 2-6 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Fault Tree, Critical Paths, Cause Hypotheses, Control Actions | Hooked loop, Trigger map, Reward design, Ethics check | Experiment results, Decision log, Learning summary | Barrier Inventory, Failure Analysis per Barrier, Action Backlog |
Tagsno overlap | RiskRoot causeSafety | GrowthBehaviorRetention | ExperimentsGrowthAnalyticsValidation | Root causeSafetyIncident |