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| Criterion |  Operations After-Action Review |  Product Strategy DIBB |  Domain Modeling Context Map |  Decision Making Delphi Method |
|---|---|---|---|---|
Purposedifferent | After missions or project phases with unclear outcomes, the method makes visible what actually happened and what can be learned from it. It separates course, effect, and causes so experience turns into solid improvement. | 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. | When several contexts need to talk to each other, it makes their relationships and dependencies legible. It helps sort integration pressure and responsibilities across system boundaries. | 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. |
Complexitydifferent | Low | Low | Medium | High |
Timedifferent | 20-45 min | 1-2 h | 1-3 h | 1-4 Wochen |
Participantsdifferent | 3-12 | 2-8 | 2-8 | 6-30 Experten |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Lessons learned, Action items, Event summary | DIBB document, Belief list, Bet list, Learning report | Context Map, Integration Patterns, Boundary Notes | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | LearningOperationsImprovement | StrategyDecisionAssumptionsHypothesis | Domain-Driven DesignBoundariesStrategy | ForecastingExpertsDecisionStrategy |