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| Criterion |  Operations Fault Tree Analysis |  Agile NoEstimates |  Delivery Monte Carlo Forecasting |  Operations Failure Mode and Effects Analysis |
|---|---|---|---|---|
Purposedifferent | For a critical top event with several possible triggers, the method logically models failure paths. It makes visible which combinations of conditions can lead to damage. | 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. | 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. |
Complexitydifferent | High | Medium | High | High |
Timedifferent | 2-6 h | laufend | 30-90 min Setup, danach laufend | 2-6 h |
Participantsdifferent | 3-8 | 2-12 | 1-8 | 3-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Fault Tree, Critical Paths, Cause Hypotheses, Control Actions | Throughput Data, Flow Forecast, Slicing Rules | Forecast Percentiles, Throughput Dataset, Risk Communication | FMEA Table, Risk Priority, Mitigation Actions |
Tagsno overlap | RiskRoot causeSafety | EstimationForecastingFlow | ForecastingFlowDelivery | RiskQualityOperationsRoot cause |