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| Criterion |  Delivery Monte Carlo Forecasting |  Agile NoEstimates |  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 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. | 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 | Medium | High |
Timedifferent | 30-90 min Setup, danach laufend | laufend | 2-6 h |
Participantsdifferent | 1-8 | 2-12 | 3-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Throughput Data, Flow Forecast, Slicing Rules | FMEA Table, Risk Priority, Mitigation Actions |
Tagsno overlap | ForecastingFlowDelivery | EstimationForecastingFlow | RiskQualityOperationsRoot cause |
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