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| Criterion |  Agile Story Splitting |  Delivery MoSCoW |  Delivery Monte Carlo Forecasting |  Decision Making Delphi Method |
|---|---|---|---|---|
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. | Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication. | 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 | Medium | Low | High | High |
Timedifferent | 30-60 min | 30-90 min | 30-90 min Setup, danach laufend | 1-4 Wochen |
Participantsdifferent | 2-6 | 3-12 | 1-8 | 6-30 Experten |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Smaller Stories, Acceptance Criteria, Split Rationale | Prioritized Backlog, Release Scope, Tradeoff Notes | Forecast Percentiles, Throughput Dataset, Risk Communication | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | BacklogIterationDelivery | PrioritizationScopeDecision | ForecastingFlowDelivery | ForecastingExpertsDecisionStrategy |