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| Criterion |  Product Strategy DIBB |  Decision Making Decision Tree |  Decision Making Delphi Method |  Decision Making OODA Loop |
|---|---|---|---|---|
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. | 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. | In dynamic situations, decisions become outdated faster than they can be prepared. The OODA Loop holds observing, orienting, deciding, and acting together as a recurring rhythm so reaction does not slide into inertia. |
Complexitydifferent | Low | Medium | High | Medium |
Timedifferent | 1-2 h | 30-90 min | 1-4 Wochen | 15-60 min je Zyklus |
Participantsdifferent | 2-8 | 1-6 | 6-30 Experten | 1-8 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Decision Tree, Option Map, Assumption List | Expert Forecast, Consensus Range, Assumption Notes | Situation Assessment, Decision Loop, Action Updates |
Tags1 shared | StrategyDecisionAssumptionsHypothesis | DecisionTreeOptions | ForecastingExpertsDecisionStrategy | DecisionChangeLearningStrategy |