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| Criterion | ![]() Knowledge Modeling Domain Storytelling | ![]() Domain Modeling Context Map | ![]() Product Strategy DIBB | ![]() Decision Making Delphi Method |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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 | Low | Medium | Low | High |
Timedifferent | 1-2 h | 1-3 h | 1-2 h | 1-4 Wochen |
Participantsdifferent | 2-8 | 2-8 | 2-8 | 6-30 Experten |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Async |
Outputdifferent | Domain Story, Glossary Notes, Process Narrative | Context Map, Integration Patterns, Boundary Notes | DIBB document, Belief list, Bet list, Learning report | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | KnowledgeDomain-Driven DesignProcess | Domain-Driven DesignBoundariesStrategy | StrategyDecisionAssumptionsHypothesis | ForecastingExpertsDecisionStrategy |



