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| Criterion |  Agile WSJF |  Delivery Monte Carlo Forecasting |  Operations Root Cause Analysis |  Decision Making Pareto Analysis |
|---|---|---|---|---|
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. | When a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another. | 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 | Medium | Low |
Timedifferent | 45-90 min | 30-90 min Setup, danach laufend | 1-4 h | 30-60 min |
Participantsdifferent | 3-10 | 1-8 | 3-8 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Ranked Backlog, Cost-of-Delay Assumptions | Forecast Percentiles, Throughput Dataset, Risk Communication | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Pareto Chart, Top Causes, Focus List |
Tagsno overlap | LeanEconomicsSequencePrioritization | ForecastingFlowDelivery | Root causeProblem solvingQualityIncident | PrioritizationQualityFocusRoot cause |