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| Criterion |  Growth Hooked Model |  Decision Making Three-Point Estimation |  Growth Funnel Analysis |  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. | A single estimate for effort, time, or risk often looks too smooth for the real uncertainty behind it. It separates options, evaluation criteria, and open risks. The result is captured as a Three-Point Estimate, Risk Range, and Assumption Notes. | 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 | Multiple workshops over several weeks | 10-30 min je Item | 1-3 h | 1-4 Wochen |
Participantsdifferent | 2-8 | 1-8 | 1-5 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async | Async |
Outputdifferent | Hooked loop, Trigger map, Reward design, Ethics check | Three-Point Estimate, Risk Range, Assumption Notes | Funnel report, Drop-off analysis, Optimization hypotheses | Experiment results, Decision log, Learning summary |
Tagsno overlap | GrowthBehaviorRetention | EstimationUncertaintyForecasting | AnalyticsConversionGrowth | ExperimentsGrowthAnalyticsValidation |