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| Criterion |  Growth Flywheel |  Operations Fault Tree Analysis |  Growth A/B Testing |  Growth Funnel Analysis |
|---|---|---|---|---|
Purposedifferent | 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. | 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 many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses. |
Complexitydifferent | Medium | High | High | Medium |
Timedifferent | 60-120 min | 2-6 h | 1-4 Wochen | 1-3 h |
Participantsdifferent | 3-8 | 3-8 | 1-6 | 1-5 |
Formatdifferent | Workshop | Workshop + async | Async | Async |
Outputdifferent | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Fault Tree, Critical Paths, Cause Hypotheses, Control Actions | Experiment results, Decision log, Learning summary | Funnel report, Drop-off analysis, Optimization hypotheses |
Tagsno overlap | GrowthRetentionConversion | RiskRoot causeSafety | ExperimentsGrowthAnalyticsValidation | AnalyticsConversionGrowth |