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| Criterion |  Operations After-Action Review |  Agile NoEstimates |  Delivery Monte Carlo Forecasting |  Operations Process Mapping |
|---|---|---|---|---|
Purposedifferent | After missions or project phases with unclear outcomes, the method makes visible what actually happened and what can be learned from it. It separates course, effect, and causes so experience turns into solid improvement. | 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. | With a confusing workflow that has many handoffs, the method makes the actual process visible. It shows where work is passed on, delayed, or duplicated, so improvement targets the right spots. |
Complexitydifferent | Low | Medium | High | Medium |
Timedifferent | 20-45 min | laufend | 30-90 min Setup, danach laufend | 1-3 h |
Participantsdifferent | 3-12 | 2-12 | 1-8 | 3-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Lessons learned, Action items, Event summary | Throughput Data, Flow Forecast, Slicing Rules | Forecast Percentiles, Throughput Dataset, Risk Communication | Process Map, Handoff List, Improvement Backlog |
Tagsno overlap | LearningOperationsImprovement | EstimationForecastingFlow | ForecastingFlowDelivery | ProcessOperationsImprovement |