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| Criterion |  Operations Fault Tree Analysis |  Growth Flywheel |  Growth A/B Testing |
|---|---|---|---|
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. |
Complexitydifferent | High | Medium | High |
Timedifferent | 2-6 h | 60-120 min | 1-4 Wochen |
Participantsdifferent | 3-8 | 3-8 | 1-6 |
Formatdifferent | 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 |
Tagsno overlap | RiskRoot causeSafety | GrowthRetentionConversion | ExperimentsGrowthAnalyticsValidation |
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