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| Criterion |  Engineering Kanban |  Agile NoEstimates |  Operations Getting Things Done |  Delivery Monte Carlo Forecasting |
|---|---|---|---|---|
Purposedifferent | When work sits in too many parallel streams, throughput suffers and no one sees the bottlenecks. Kanban makes the flow of work visible and limits overload so a system becomes calmer and more predictable. | 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. | With many open commitments and ideas in daily life, a reliable external storage system emerges. The method relieves the mind so priority and context don't have to compete in memory. | 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. |
Complexitydifferent | Medium | Medium | Medium | High |
Timedifferent | Ongoing | laufend | 1-2 h Setup, laufend | 30-90 min Setup, danach laufend |
Participantsdifferent | 2-12 | 2-12 | 1 | 1-8 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Kanban board, WIP policies, Flow metrics | Throughput Data, Flow Forecast, Slicing Rules | Action Lists, Project List, Review Routine | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | FlowVisual managementDelivery | EstimationForecastingFlow | ProductivityPlanningTasksExecution | ForecastingFlowDelivery |