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| Criterion | ![]() Decision Making Delphi Method | ![]() Decision Making Decision Tree | ![]() Domain Modeling EventStorming | ![]() Domain Modeling Context Map |
|---|---|---|---|---|
Purposedifferent | 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. | 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 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. |
Complexitydifferent | High | Medium | Medium | Medium |
Timedifferent | 1-4 Wochen | 30-90 min | 2-8 h | 1-3 h |
Participantsdifferent | 6-30 Experten | 1-6 | 5-12 | 2-8 |
Formatdifferent | Async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | Decision Tree, Option Map, Assumption List | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | Context Map, Integration Patterns, Boundary Notes |
Tagsno overlap | ForecastingExpertsDecisionStrategy | DecisionTreeOptions | Domain-Driven DesignEventsDiscoveryWorkshop | Domain-Driven DesignBoundariesStrategy |



