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| Criterion |  Operations Root Cause Analysis |  Delivery Monte Carlo Forecasting |
|---|---|---|
Purposedifferent | 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. | 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. |
Complexitydifferent | Medium | High |
Timedifferent | 1-4 h | 30-90 min Setup, danach laufend |
Participantsdifferent | 3-8 | 1-8 |
Formatsame | Workshop + async | Workshop + async |
Outputdifferent | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | Root causeProblem solvingQualityIncident | ForecastingFlowDelivery |
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