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| Criterion |  Delivery Monte Carlo Forecasting |  Operations Learning Review |  Delivery Cost of Delay |  Operations ABC Analysis |
|---|---|---|---|---|
Purposedifferent | 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. | After a project phase with mixed results, the method makes learning from the individual case reusable. It connects events, decisions, and systemic conditions into robust insights. | Helps clarify scope, order, and delivery flow in concrete terms. It makes work, constraints, and sequence manageable. The result is captured as a Cost of Delay table and prioritization sequence. | With many similar objects of differing economic significance, the method prioritizes effort by effect. It separates what needs regular steering from what rarely needs attention. |
Complexitydifferent | High | Medium | High | Low |
Timedifferent | 30-90 min Setup, danach laufend | 1-3 h | 90-180 min | 30-60 min |
Participantsdifferent | 1-8 | 3-10 | 3-8 | 1-5 |
Formatdifferent | Workshop + async | Workshop | Workshop | Async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Learning Review Notes, System Factors, Improvement Actions | CoD Table, Prioritization Sequence | ABC Classification, Focus Rules, Control List |
Tagsno overlap | ForecastingFlowDelivery | LearningRetrospectiveIncidentOperations | PrioritizationDeliveryEconomicsDecision | PrioritizationOperationsPortfolio |