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| Criterion |  Growth Growth Experiment |  Growth Hooked Model |  Growth Funnel Analysis |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | When growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment. | 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 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 | 1-2 Wochen | Multiple workshops over several weeks | 1-3 h | 1-4 Wochen |
Participantsdifferent | 1-6 | 2-8 | 1-5 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async | Async |
Outputdifferent | Experiment card, Result summary, Next bet | Hooked loop, Trigger map, Reward design, Ethics check | Funnel report, Drop-off analysis, Optimization hypotheses | Experiment results, Decision log, Learning summary |
Tags1 shared | MarketingGrowthExperimentsLearning | GrowthBehaviorRetention | AnalyticsConversionGrowth | ExperimentsGrowthAnalyticsValidation |