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| Criterion |  Agile Story Splitting |  Delivery MoSCoW |  Decision Making Delphi Method |  Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | When a story becomes too large for a clean flow, it breaks scope down along value and risk. It shapes the work into a form that ships earlier and is easier to verify. | 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. | 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 | 30-60 min | 30-90 min | 1-4 Wochen | 1-2 h |
Participantsdifferent | 2-6 | 3-12 | 6-30 Experten | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Smaller Stories, Acceptance Criteria, Split Rationale | Prioritized Backlog, Release Scope, Tradeoff Notes | Expert Forecast, Consensus Range, Assumption Notes | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | BacklogIterationDelivery | PrioritizationScopeDecision | ForecastingExpertsDecisionStrategy | StrategyDecisionAssumptionsHypothesis |