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| Criterion |  Product Strategy DIBB |  Agile Example Mapping |  Knowledge Modeling Competency Questions |  Decision Making Delphi Method |
|---|---|---|---|---|
Purposedifferent | 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 a story carries business rules and exceptions, it brings clarity before implementation. It makes examples, open questions, and boundaries visible enough that the logic becomes jointly sound. | Competency Questions translate a domain model into concrete questions that it must be able to answer. The method keeps the model's scope clean and prevents pretty but useless structures. | 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 | Low | Medium | High |
Timedifferent | 1-2 h | 30-60 min | 2-4 h | 1-4 Wochen |
Participantsdifferent | 2-8 | 3-7 | 2-8 | 6-30 Experten |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Async |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Example Map, Acceptance Criteria, Open Questions | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | Behavior-Driven DevelopmentRequirementsExamplesRefinement | OntologyKnowledge graphScopeRequirementsSemantic | ForecastingExpertsDecisionStrategy |