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| Criterion | ![]() Growth Funnel Analysis | ![]() Operations Fault Tree Analysis | ![]() Growth A/B Testing | ![]() Operations Barrier 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. | 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. | 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. |
Complexitydifferent | Medium | High | High | Medium |
Timedifferent | 1-3 h | 2-6 h | 1-4 Wochen | 2-4 h |
Participantsdifferent | 1-5 | 3-8 | 1-6 | 2-6 |
Formatdifferent | Async | Workshop + async | Async | Workshop + async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Fault Tree, Critical Paths, Cause Hypotheses, Control Actions | Experiment results, Decision log, Learning summary | Barrier Inventory, Failure Analysis per Barrier, Action Backlog |
Tagsno overlap | AnalyticsConversionGrowth | RiskRoot causeSafety | ExperimentsGrowthAnalyticsValidation | Root causeSafetyIncident |



