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| Criterion |  Domain Modeling EventStorming |  Knowledge Modeling Domain Storytelling |  Product Strategy DIBB |  Decision Making Delphi Method |
|---|---|---|---|---|
Purposedifferent | 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. | Domain Storytelling translates domain knowledge into a shared narrative of actors, objects, and workflows. It is especially useful when language, rules, and process understanding must be tightly connected. | 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 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 | Low | High |
Timedifferent | 2-8 h | 1-2 h | 1-2 h | 1-4 Wochen |
Participantsdifferent | 5-12 | 2-8 | 2-8 | 6-30 Experten |
Formatdifferent | Workshop | Workshop | Workshop + async | Async |
Outputdifferent | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | Domain Story, Glossary Notes, Process Narrative | DIBB document, Belief list, Bet list, Learning report | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | Domain-Driven DesignEventsDiscoveryWorkshop | KnowledgeDomain-Driven DesignProcess | StrategyDecisionAssumptionsHypothesis | ForecastingExpertsDecisionStrategy |