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| Criterion |  Decision Making Delphi Method |  Product Strategy DIBB |  Agile Affinity Estimation |  Decision Making Wideband Delphi |
|---|---|---|---|---|
Purposedifferent | 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. | When many tasks need to be classified quickly, it sorts them by perceived effort and similarity. It reduces the effort of fine-grained estimation for large volumes. | 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. |
Complexitydifferent | High | Low | Medium | High |
Timedifferent | 1-4 Wochen | 1-2 h | 30-90 min | 1-4 h or multiple rounds |
Participantsdifferent | 6-30 Experten | 2-8 | 3-12 | 4-12 Experten |
Formatdifferent | Async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | DIBB document, Belief list, Bet list, Learning report | Affinity Size Map, Grouped Estimates, Unclear Items | Estimate Range, Assumption Log, Expert Consensus Notes |
Tagsno overlap | ForecastingExpertsDecisionStrategy | StrategyDecisionAssumptionsHypothesis | EstimationBacklogRelative sizing | EstimationExpertsForecasting |