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| Criterion |  Delivery MoSCoW |  Decision Making Delphi Method |  Decision Making Decision Tree |  Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | When a release carries too many demands and priorities are only ever negotiated, MoSCoW creates clear boundaries for the next cut. Must, Should, Could, and Won't make commitment, room for maneuver, and trade-off logic visible to everyone involved. | 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. | 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. | 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 | Low | High | Medium | Low |
Timedifferent | 30-90 min | 1-4 Wochen | 30-90 min | 1-2 h |
Participantsdifferent | 3-12 | 6-30 Experten | 1-6 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Prioritized Backlog, Release Scope, Tradeoff Notes | Expert Forecast, Consensus Range, Assumption Notes | Decision Tree, Option Map, Assumption List | DIBB document, Belief list, Bet list, Learning report |
Tags1 shared | PrioritizationScopeDecision | ForecastingExpertsDecisionStrategy | DecisionTreeOptions | StrategyDecisionAssumptionsHypothesis |