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| Criterion | ![]() Growth Flywheel | ![]() Operations Barrier Analysis | ![]() Growth A/B Testing | ![]() Operations MORT 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 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. | 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. |
Complexitydifferent | Medium | Medium | High | High |
Timedifferent | 60-120 min | 2-4 h | 1-4 Wochen | Mehrere Tage bis Wochen |
Participantsdifferent | 3-8 | 2-6 | 1-6 | 2-6 |
Formatdifferent | Workshop | Workshop + async | Async | Workshop + async |
Outputdifferent | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Barrier Inventory, Failure Analysis per Barrier, Action Backlog | Experiment results, Decision log, Learning summary | MORT Worksheets, Findings per Branch, Corrective Actions, Systemic Recommendations |
Tagsno overlap | GrowthRetentionConversion | Root causeSafetyIncident | ExperimentsGrowthAnalyticsValidation | Root causeSafetySystemicIncident |



