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| Criterion | ![]() Knowledge Modeling IBIS | ![]() Knowledge Modeling Domain Storytelling | ![]() Decision Making Delphi Method | ![]() Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | IBIS structures thinking about complex questions as a sequence of issues, ideas, and arguments. The method keeps discussions open without forcing them into premature consensus. | 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. | 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 | Medium | Low | High | Low |
Timedifferent | 1-3 h | 1-2 h | 1-4 Wochen | 1-2 h |
Participantsdifferent | 2-8 | 2-8 | 6-30 Experten | 2-8 |
Formatdifferent | Workshop + async | Workshop | Async | Workshop + async |
Outputdifferent | Issue Map, Positions, Argument Notes | Domain Story, Glossary Notes, Process Narrative | Expert Forecast, Consensus Range, Assumption Notes | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | RationaleKnowledgeDecision | KnowledgeDomain-Driven DesignProcess | ForecastingExpertsDecisionStrategy | StrategyDecisionAssumptionsHypothesis |



