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| Criterion |  Operations Fault Tree Analysis |  Growth Flywheel |  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. | Growth often breaks down where a reinforcing mechanism builds up too much friction. A Flywheel shows the cycle of value, repetition, and reinforcement meant to sustain growth. | 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 | 60-120 min | 1-4 Wochen | 2-4 h |
Participantsdifferent | 3-8 | 3-8 | 1-6 | 2-6 |
Formatdifferent | Workshop + async | Workshop | Async | Workshop + async |
Outputdifferent | Fault Tree, Critical Paths, Cause Hypotheses, Control Actions | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Experiment results, Decision log, Learning summary | Barrier Inventory, Failure Analysis per Barrier, Action Backlog |
Tagsno overlap | RiskRoot causeSafety | GrowthRetentionConversion | ExperimentsGrowthAnalyticsValidation | Root causeSafetyIncident |