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| Criterion |  Growth Hooked Model |  Decision Making Decision Matrix |  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 several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic. | 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 | High |
Timedifferent | Multiple workshops over several weeks | 45-90 min | 1-4 Wochen |
Participantsdifferent | 2-8 | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async |
Outputdifferent | Hooked loop, Trigger map, Reward design, Ethics check | Decision Matrix, Scoring Rationale, Selected Option | Experiment results, Decision log, Learning summary |
Tagsno overlap | GrowthBehaviorRetention | DecisionCriteriaScoringTradeoffs | ExperimentsGrowthAnalyticsValidation |
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