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| Criterion |  Product Strategy DIBB |  Decision Making Option Framing |  Decision Making Delphi Method |  Decision Making Decision Tree |
|---|---|---|---|---|
Purposedifferent | 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. | In early decisions, alternatives are often still vague, incomplete, or blended together. Option Framing brings every possibility into a comparable form and makes visible which variant actually fits the question. | 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. |
Complexitydifferent | Low | Medium | High | Medium |
Timedifferent | 1-2 h | 45-120 min | 1-4 Wochen | 30-90 min |
Participantsdifferent | 2-8 | 3-8 | 6-30 Experten | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Option Frames, Assumption Notes, Comparable Shortlist, Decision Inputs | Expert Forecast, Consensus Range, Assumption Notes | Decision Tree, Option Map, Assumption List |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | OptionsDecision framingStrategyComparison | ForecastingExpertsDecisionStrategy | DecisionTreeOptions |