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| Criterion |  Delivery Monte Carlo Forecasting |  Operations Fishbone Diagram |  Operations 5 Whys |  Operations Failure Mode and Effects 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 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. | For a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description. | For a process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability. |
Complexitydifferent | High | Low | Low | High |
Timedifferent | 30-90 min Setup, danach laufend | 30-60 min | 15-30 min | 2-6 h |
Participantsdifferent | 1-8 | 2-8 | 2-6 | 3-10 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Fishbone Diagram, Cause Categories, Investigation Backlog | Root cause notes, Countermeasures | FMEA Table, Risk Priority, Mitigation Actions |
Tagsno overlap | ForecastingFlowDelivery | Root causeQualityOperations | Root causeIncidentLeanProblem solving | RiskQualityOperationsRoot cause |