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| Criterion |  Growth Funnel Analysis |  Growth A/B Testing |  Operations Barrier Analysis |  Operations MORT Analysis |
|---|---|---|---|---|
Purposedifferent | 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. | 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 | 1-3 h | 1-4 Wochen | 2-4 h | Mehrere Tage bis Wochen |
Participantsdifferent | 1-5 | 1-6 | 2-6 | 2-6 |
Formatdifferent | Async | Async | Workshop + async | Workshop + async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | 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 | AnalyticsConversionGrowth | ExperimentsGrowthAnalyticsValidation | Root causeSafetyIncident | Root causeSafetySystemicIncident |