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| Criterion |  Knowledge Modeling Domain Storytelling |  Knowledge Modeling PARA Method |  Decision Making Delphi Method |  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. | The PARA Method organizes knowledge into Projects, Areas, Resources, and Archives. It creates order when digital notes, files, and tasks no longer cleanly fit current work. | 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 | Low | Medium | High | Low |
Timedifferent | 1-2 h | 1-3 h Setup, laufend | 1-4 Wochen | 1-2 h |
Participantsdifferent | 2-8 | 1 | 6-30 Experten | 2-8 |
Formatdifferent | Workshop | Async | Async | Workshop + async |
Outputdifferent | Domain Story, Glossary Notes, Process Narrative | PARA Structure, Project Notes, Knowledge Archive | Expert Forecast, Consensus Range, Assumption Notes | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | KnowledgeDomain-Driven DesignProcess | KnowledgeProductivityOrganization | ForecastingExpertsDecisionStrategy | StrategyDecisionAssumptionsHypothesis |