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| Criterion |  Decision Making Decision Tree |  Decision Making Delphi Method |  Agile Bucket System |  Product Strategy DIBB |
|---|---|---|---|---|
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 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. | When a large batch of work needs a fast, rough estimate, it sorts items into predefined size buckets. It sorts work by value, risk, and delivery ability. The result is captured as a Bucketed Backlog, Relative Estimates, and Split Candidates. | 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 | Medium | High | Medium | Low |
Timedifferent | 30-90 min | 1-4 Wochen | 30-90 min | 1-2 h |
Participantsdifferent | 1-6 | 6-30 Experten | 3-12 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Expert Forecast, Consensus Range, Assumption Notes | Bucketed Backlog, Relative Estimates, Split Candidates | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | DecisionTreeOptions | ForecastingExpertsDecisionStrategy | EstimationBacklogRelative sizing | StrategyDecisionAssumptionsHypothesis |