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| Criterion |  Product Strategy DIBB |  Knowledge Modeling Competency Questions |  Decision Making Delphi Method |  Delivery MoSCoW |
|---|---|---|---|---|
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. | 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. | When a release carries too many demands and priorities are only ever negotiated, MoSCoW creates clear boundaries for the next cut. Must, Should, Could, and Won't make commitment, room for maneuver, and trade-off logic visible to everyone involved. |
Complexitydifferent | Low | Medium | High | Low |
Timedifferent | 1-2 h | 2-4 h | 1-4 Wochen | 30-90 min |
Participantsdifferent | 2-8 | 2-8 | 6-30 Experten | 3-12 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Expert Forecast, Consensus Range, Assumption Notes | Prioritized Backlog, Release Scope, Tradeoff Notes |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | OntologyKnowledge graphScopeRequirementsSemantic | ForecastingExpertsDecisionStrategy | PrioritizationScopeDecision |