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| Criterion |  Decision Making Wideband Delphi |  Growth Hooked Model |  Decision Making Delphi Method |  Product Strategy DIBB |
|---|---|---|---|---|
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 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. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. |
Complexitydifferent | High | Medium | High | Low |
Timedifferent | 1-4 h or multiple rounds | Multiple workshops over several weeks | 1-4 Wochen | 1-2 h |
Participantsdifferent | 4-12 Experten | 2-8 | 6-30 Experten | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Estimate Range, Assumption Log, Expert Consensus Notes | Hooked loop, Trigger map, Reward design, Ethics check | Expert Forecast, Consensus Range, Assumption Notes | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | EstimationExpertsForecasting | GrowthBehaviorRetention | ForecastingExpertsDecisionStrategy | StrategyDecisionAssumptionsHypothesis |