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| Criterion |  Decision Making Decision Tree |  Agile Affinity Estimation |  Product Strategy DIBB |  Decision Making Delphi Method |
|---|---|---|---|---|
Purposedifferent | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | 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. | 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 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 | Medium | Low | High |
Timedifferent | 30-90 min | 30-90 min | 1-2 h | 1-4 Wochen |
Participantsdifferent | 1-6 | 3-12 | 2-8 | 6-30 Experten |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Affinity Size Map, Grouped Estimates, Unclear Items | DIBB document, Belief list, Bet list, Learning report | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | DecisionTreeOptions | EstimationBacklogRelative sizing | StrategyDecisionAssumptionsHypothesis | ForecastingExpertsDecisionStrategy |