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| Criterion |  Growth Hooked Model |  Growth Funnel Analysis |  Decision Making Decision Tree |  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. | 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 decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | 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 | Medium | Medium | High |
Timedifferent | Multiple workshops over several weeks | 1-3 h | 30-90 min | 1-4 Wochen |
Participantsdifferent | 2-8 | 1-5 | 1-6 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | Hooked loop, Trigger map, Reward design, Ethics check | Funnel report, Drop-off analysis, Optimization hypotheses | Decision Tree, Option Map, Assumption List | Experiment results, Decision log, Learning summary |
Tagsno overlap | GrowthBehaviorRetention | AnalyticsConversionGrowth | DecisionTreeOptions | ExperimentsGrowthAnalyticsValidation |