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| Criterion |  Delivery Monte Carlo Forecasting |  Operations Fishbone Diagram |  Engineering Kanban |  Operations Kepner-Tregoe |
|---|---|---|---|---|
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 a problem has several possible contributing factors, the method sorts causes by cause areas. It prevents an initial hunch from blocking the view of other plausible drivers. | When work sits in too many parallel streams, throughput suffers and no one sees the bottlenecks. Kanban makes the flow of work visible and limits overload so a system becomes calmer and more predictable. | For a disturbance that's hard to pin down, the method cleanly separates problem, cause, and decision. It reduces mixing when symptoms allow several interpretations. |
Complexitydifferent | High | Low | Medium | High |
Timedifferent | 30-90 min Setup, danach laufend | 30-60 min | Ongoing | 2-8 h |
Participantsdifferent | 1-8 | 2-8 | 2-12 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Fishbone Diagram, Cause Categories, Investigation Backlog | Kanban board, WIP policies, Flow metrics | Problem Analysis, Decision Analysis, Risk Plan |
Tagsno overlap | ForecastingFlowDelivery | Root causeQualityOperations | FlowVisual managementDelivery | Problem solvingRoot causeDecisionOperations |