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| Criterion |  Growth Funnel Analysis |  Operations Fault Tree Analysis |  Growth Hooked Model |  Growth A/B Testing |
|---|---|---|---|---|
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. | 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. |
Complexitydifferent | Medium | High | Medium | High |
Timedifferent | 1-3 h | 2-6 h | Multiple workshops over several weeks | 1-4 Wochen |
Participantsdifferent | 1-5 | 3-8 | 2-8 | 1-6 |
Formatdifferent | Async | Workshop + async | Workshop + async | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Fault Tree, Critical Paths, Cause Hypotheses, Control Actions | Hooked loop, Trigger map, Reward design, Ethics check | Experiment results, Decision log, Learning summary |
Tagsno overlap | AnalyticsConversionGrowth | RiskRoot causeSafety | GrowthBehaviorRetention | ExperimentsGrowthAnalyticsValidation |