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| Criterion |  Product Strategy DIBB |  Domain Modeling EventStorming |  Domain Modeling Context Map |  Decision Making Delphi Method |
|---|---|---|---|---|
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. | When a domain consists of many events, rules, and states, it creates a shared modeling space for the team. It bundles language, flows, and boundaries before domain knowledge fragments into siloed views. | 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 | Medium | Medium | High |
Timedifferent | 1-2 h | 2-8 h | 1-3 h | 1-4 Wochen |
Participantsdifferent | 2-8 | 5-12 | 2-8 | 6-30 Experten |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Async |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | Context Map, Integration Patterns, Boundary Notes | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | Domain-Driven DesignEventsDiscoveryWorkshop | Domain-Driven DesignBoundariesStrategy | ForecastingExpertsDecisionStrategy |