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| Criterion | ![]() Decision Making Wideband Delphi | ![]() Growth Hooked Model | ![]() Growth Funnel Analysis | ![]() Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | A single opinion rarely holds up for planning when the future is genuinely uncertain. It separates options, evaluation criteria, and open risks. The result is captured as an Estimate Range, Assumption Log, and Expert Consensus Notes. | 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 | High | Medium | Medium | High |
Timedifferent | 1-4 h or multiple rounds | Multiple workshops over several weeks | 1-3 h | 1-4 Wochen |
Participantsdifferent | 4-12 Experten | 2-8 | 1-5 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async | Async |
Outputdifferent | Estimate Range, Assumption Log, Expert Consensus Notes | Hooked loop, Trigger map, Reward design, Ethics check | Funnel report, Drop-off analysis, Optimization hypotheses | Experiment results, Decision log, Learning summary |
Tagsno overlap | EstimationExpertsForecasting | GrowthBehaviorRetention | AnalyticsConversionGrowth | ExperimentsGrowthAnalyticsValidation |



