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| Criterion |  Delivery Monte Carlo Forecasting |  Agile NoEstimates |  Operations Root Cause 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. | When a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another. |
Complexitydifferent | High | Medium | Medium |
Timedifferent | 30-90 min Setup, danach laufend | laufend | 1-4 h |
Participantsdifferent | 1-8 | 2-12 | 3-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Throughput Data, Flow Forecast, Slicing Rules | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tagsno overlap | ForecastingFlowDelivery | EstimationForecastingFlow | Root causeProblem solvingQualityIncident |
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