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| Criterion |  Growth Flywheel |  Growth A/B Testing |  Operations MORT Analysis |  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. | 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 safety-relevant event or a system with high protection requirements, the method examines where controls failed. It exposes both technical and organizational gaps. | 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 | 1-4 Wochen | Mehrere Tage bis Wochen | 1-3 h |
Participantsdifferent | 3-8 | 1-6 | 2-6 | 1-5 |
Formatdifferent | Workshop | Async | Workshop + async | Async |
Outputdifferent | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Experiment results, Decision log, Learning summary | MORT Worksheets, Findings per Branch, Corrective Actions, Systemic Recommendations | Funnel report, Drop-off analysis, Optimization hypotheses |
Tagsno overlap | GrowthRetentionConversion | ExperimentsGrowthAnalyticsValidation | Root causeSafetySystemicIncident | AnalyticsConversionGrowth |