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| Criterion |  Decision Making Decision Tree |  Operations ALPEN Method |  Decision Making Delphi Method |  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. | With an overloaded day full of too many tasks, a realistic picture of the day emerges. The method connects estimating, deciding, and buffer thinking so planning fits available energy and time. | 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. | 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 | Low | High | Low |
Timedifferent | 30-90 min | 10-20 min daily | 1-4 Wochen | 1-2 h |
Participantsdifferent | 1-6 | 1 | 6-30 Experten | 2-8 |
Formatdifferent | Workshop + async | Async | Async | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Daily Plan, Time Estimates, Review Notes | Expert Forecast, Consensus Range, Assumption Notes | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | DecisionTreeOptions | PlanningTime managementProductivityOperations | ForecastingExpertsDecisionStrategy | StrategyDecisionAssumptionsHypothesis |