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| Criterion |  Knowledge Modeling Domain Storytelling |  Decision Making Decision Tree |  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. | 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. | 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 | 30-90 min | 1-2 h | 1-4 Wochen |
Participantsdifferent | 2-8 | 1-6 | 2-8 | 6-30 Experten |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Async |
Outputdifferent | Domain Story, Glossary Notes, Process Narrative | Decision Tree, Option Map, Assumption List | DIBB document, Belief list, Bet list, Learning report | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | KnowledgeDomain-Driven DesignProcess | DecisionTreeOptions | StrategyDecisionAssumptionsHypothesis | ForecastingExpertsDecisionStrategy |