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| Criterion |  Decision Making Decision Tree |  Engineering Kanban |  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. | When work sits in too many parallel streams, throughput suffers and no one sees the bottlenecks. Kanban makes the flow of work visible and limits overload so a system becomes calmer and more predictable. | 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 | Medium | High | Low |
Timedifferent | 30-90 min | Ongoing | 1-4 Wochen | 1-2 h |
Participantsdifferent | 1-6 | 2-12 | 6-30 Experten | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Kanban board, WIP policies, Flow metrics | Expert Forecast, Consensus Range, Assumption Notes | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | DecisionTreeOptions | FlowVisual managementDelivery | ForecastingExpertsDecisionStrategy | StrategyDecisionAssumptionsHypothesis |