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| Criterion |  Growth Hooked Model |  Growth A/B Testing |  Operations Barrier Analysis |  Operations MORT Analysis |
|---|---|---|---|---|
Purposedifferent | The Hooked Model helps clarify engagement loops, user behavior, and experiments. It makes repeat behavior measurable and captures the result as a hooked loop, trigger map, and reward design. | 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. | 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 | High | Medium | High |
Timedifferent | Multiple workshops over several weeks | 1-4 Wochen | 2-4 h | Mehrere Tage bis Wochen |
Participantsdifferent | 2-8 | 1-6 | 2-6 | 2-6 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Hooked loop, Trigger map, Reward design, Ethics check | Experiment results, Decision log, Learning summary | Barrier Inventory, Failure Analysis per Barrier, Action Backlog | MORT Worksheets, Findings per Branch, Corrective Actions, Systemic Recommendations |
Tagsno overlap | GrowthBehaviorRetention | ExperimentsGrowthAnalyticsValidation | Root causeSafetyIncident | Root causeSafetySystemicIncident |