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| Criterion |  Growth Hooked Model |  Growth Funnel Analysis |  Facilitation Nominal Group Technique |  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. | When loud voices could dominate a round, Nominal Group Technique protects individual thinking time from group effects. It collects ideas separately first and only then enables shared weighting. | 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 | 60-120 min | 1-4 Wochen |
Participantsdifferent | 2-8 | 1-5 | 5-12 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop | Async |
Outputdifferent | Hooked loop, Trigger map, Reward design, Ethics check | Funnel report, Drop-off analysis, Optimization hypotheses | Ranked Ideas, Clarified Options, Group Priority | Experiment results, Decision log, Learning summary |
Tagsno overlap | GrowthBehaviorRetention | AnalyticsConversionGrowth | FacilitationPrioritizationVotingInclusion | ExperimentsGrowthAnalyticsValidation |