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| Criterion |  Growth Hooked Model |  Decision Making Wideband Delphi |  Agile NoEstimates |  Decision Making Delphi Method |
|---|---|---|---|---|
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 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. | When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules. | When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. |
Complexitydifferent | Medium | High | Medium | High |
Timedifferent | Multiple workshops over several weeks | 1-4 h or multiple rounds | laufend | 1-4 Wochen |
Participantsdifferent | 2-8 | 4-12 Experten | 2-12 | 6-30 Experten |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Hooked loop, Trigger map, Reward design, Ethics check | Estimate Range, Assumption Log, Expert Consensus Notes | Throughput Data, Flow Forecast, Slicing Rules | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | GrowthBehaviorRetention | EstimationExpertsForecasting | EstimationForecastingFlow | ForecastingExpertsDecisionStrategy |