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| Criterion |  Agile WSJF |  Delivery Monte Carlo Forecasting |  Decision Making Pareto Analysis |  Delivery Cost of Delay |
|---|---|---|---|---|
Purposedifferent | When many tasks compete for the same capacity, it orders work by economic impact. It makes time lost, benefit, and effort comparable together. | 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. | In many problem situations, effect is distributed unequally across many causes. A Pareto Analysis separates the few drivers with high leverage from the long remainder and focuses attention on what measurably moves the needle. | 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. |
Complexitydifferent | High | High | Low | High |
Timedifferent | 45-90 min | 30-90 min Setup, danach laufend | 30-60 min | 90-180 min |
Participantsdifferent | 3-10 | 1-8 | 1-6 | 3-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Ranked Backlog, Cost-of-Delay Assumptions | Forecast Percentiles, Throughput Dataset, Risk Communication | Pareto Chart, Top Causes, Focus List | CoD Table, Prioritization Sequence |
Tagsno overlap | LeanEconomicsSequencePrioritization | ForecastingFlowDelivery | PrioritizationQualityFocusRoot cause | PrioritizationDeliveryEconomicsDecision |