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| Criterion | ![]() Knowledge Modeling Event Modeling | ![]() Product Strategy DIBB | ![]() Domain Modeling EventStorming | ![]() Decision Making Delphi Method |
|---|---|---|---|---|
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. | 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 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 | Medium | Low | Medium | High |
Timedifferent | 2-6 h | 1-2 h | 2-8 h | 1-4 Wochen |
Participantsdifferent | 2-8 | 2-8 | 5-12 | 6-30 Experten |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Async |
Outputdifferent | Event Model, UI Flow, Commands, Read Models | DIBB document, Belief list, Bet list, Learning report | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | EventsBlueprintDomain-Driven DesignBehavior | StrategyDecisionAssumptionsHypothesis | Domain-Driven DesignEventsDiscoveryWorkshop | ForecastingExpertsDecisionStrategy |



