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| Criterion |  Growth Hooked Model |  Growth Funnel Analysis |  Delivery Cost of Delay |  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. | Helps clarify scope, order, and delivery flow in concrete terms. It makes work, constraints, and sequence manageable. The result is captured as a Cost of Delay table and prioritization sequence. | 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 | High |
Timedifferent | Multiple workshops over several weeks | 1-3 h | 90-180 min | 1-4 Wochen |
Participantsdifferent | 2-8 | 1-5 | 3-8 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop | Async |
Outputdifferent | Hooked loop, Trigger map, Reward design, Ethics check | Funnel report, Drop-off analysis, Optimization hypotheses | CoD Table, Prioritization Sequence | Experiment results, Decision log, Learning summary |
Tagsno overlap | GrowthBehaviorRetention | AnalyticsConversionGrowth | PrioritizationDeliveryEconomicsDecision | ExperimentsGrowthAnalyticsValidation |