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| Criterion | ![]() Knowledge Modeling Event Modeling | ![]() Decision Making Delphi Method | ![]() Domain Modeling EventStorming | ![]() Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | Event Modeling connects business workflows with commands, events, and views into one coherent mental model. It helps design behavior, UI, and technical slices from the same underlying logic. | 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. | 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. | 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 | High | Medium | Low |
Timedifferent | 2-6 h | 1-4 Wochen | 2-8 h | 1-2 h |
Participantsdifferent | 2-8 | 6-30 Experten | 5-12 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop | Workshop + async |
Outputdifferent | Event Model, UI Flow, Commands, Read Models | Expert Forecast, Consensus Range, Assumption Notes | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | EventsBlueprintDomain-Driven DesignBehavior | ForecastingExpertsDecisionStrategy | Domain-Driven DesignEventsDiscoveryWorkshop | StrategyDecisionAssumptionsHypothesis |



