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| Criterion |  Agile WSJF |  Operations Waste Analysis |  Delivery Monte Carlo Forecasting |  Agile NoEstimates |
|---|---|---|---|---|
Purposedifferent | When many tasks compete for the same capacity, it orders work by economic impact. It makes time lost, benefit, and effort comparable together. | For a process that keeps people busy but creates little value, the method exposes waste. It directs attention to unnecessary movement, waiting times, rework, and overdelivery. | 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. |
Complexitydifferent | High | Low | High | Medium |
Timedifferent | 45-90 min | 45-120 min | 30-90 min Setup, danach laufend | laufend |
Participantsdifferent | 3-10 | 2-8 | 1-8 | 2-12 |
Formatdifferent | Workshop | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Ranked Backlog, Cost-of-Delay Assumptions | Waste Map, Prioritized Waste, Improvement Backlog | Forecast Percentiles, Throughput Dataset, Risk Communication | Throughput Data, Flow Forecast, Slicing Rules |
Tagsno overlap | LeanEconomicsSequencePrioritization | WasteLeanProcess improvement | ForecastingFlowDelivery | EstimationForecastingFlow |