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| Criterion |  Growth Hooked Model |  Operations Failure Mode and Effects Analysis |  Growth Funnel Analysis |  Growth A/B Testing |
|---|---|---|---|---|
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. | For a process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability. | 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. |
Complexitydifferent | Medium | High | Medium | High |
Timedifferent | Multiple workshops over several weeks | 2-6 h | 1-3 h | 1-4 Wochen |
Participantsdifferent | 2-8 | 3-10 | 1-5 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Async | Async |
Outputdifferent | Hooked loop, Trigger map, Reward design, Ethics check | FMEA Table, Risk Priority, Mitigation Actions | Funnel report, Drop-off analysis, Optimization hypotheses | Experiment results, Decision log, Learning summary |
Tagsno overlap | GrowthBehaviorRetention | RiskQualityOperationsRoot cause | AnalyticsConversionGrowth | ExperimentsGrowthAnalyticsValidation |