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| Criterion |  Delivery Monte Carlo Forecasting |  Operations Failure Mode and Effects Analysis |  Agile NoEstimates |  Operations Fishbone Diagram |
|---|---|---|---|---|
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. | 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. | When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules. | 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. |
Complexitydifferent | High | High | Medium | Low |
Timedifferent | 30-90 min Setup, danach laufend | 2-6 h | laufend | 30-60 min |
Participantsdifferent | 1-8 | 3-10 | 2-12 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | FMEA Table, Risk Priority, Mitigation Actions | Throughput Data, Flow Forecast, Slicing Rules | Fishbone Diagram, Cause Categories, Investigation Backlog |
Tagsno overlap | ForecastingFlowDelivery | RiskQualityOperationsRoot cause | EstimationForecastingFlow | Root causeQualityOperations |