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| Criterion |  Delivery Monte Carlo Forecasting |  Agile WSJF |  Operations 8D Problem Solving |  Decision Making Pareto 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. | When many tasks compete for the same capacity, it orders work by economic impact. It makes time lost, benefit, and effort comparable together. | For an acute quality or delivery problem, the method structures immediate protection and root cause work together. It keeps the situation stable while the actual cause is investigated cleanly. | 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. |
Complexitydifferent | High | High | High | Low |
Timedifferent | 30-90 min Setup, danach laufend | 45-90 min | 1-6 Wochen | 30-60 min |
Participantsdifferent | 1-8 | 3-10 | 4-10 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Ranked Backlog, Cost-of-Delay Assumptions | 8D Report, Containment Plan, Root Cause Evidence, Corrective Action Plan | Pareto Chart, Top Causes, Focus List |
Tagsno overlap | ForecastingFlowDelivery | LeanEconomicsSequencePrioritization | QualityProblem solvingRoot cause | PrioritizationQualityFocusRoot cause |