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| Criterion |  Knowledge Modeling Domain Storytelling |  Decision Making Delphi Method |  Knowledge Modeling Feynman Technique |  Product Strategy DIBB |
|---|---|---|---|---|
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 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. | The Feynman Technique checks understanding by explaining a topic so that it stays easy for others to understand. It makes knowledge gaps visible before they become costly in everyday work. | 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 | Low | High | Low | Low |
Timedifferent | 1-2 h | 1-4 Wochen | 20-60 min | 1-2 h |
Participantsdifferent | 2-8 | 6-30 Experten | 1 | 2-8 |
Formatdifferent | Workshop | Async | Async | Workshop + async |
Outputdifferent | Domain Story, Glossary Notes, Process Narrative | Expert Forecast, Consensus Range, Assumption Notes | Plain-language Explanation, Knowledge Gaps, Study Notes | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | KnowledgeDomain-Driven DesignProcess | ForecastingExpertsDecisionStrategy | LearningKnowledgeUnderstanding | StrategyDecisionAssumptionsHypothesis |