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| Criterion |  Agile NoEstimates |  Delivery Monte Carlo Forecasting |  Systems Thinking Systems Mapping |  Engineering Kanban |
|---|---|---|---|---|
Purposedifferent | 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. | Systems Mapping arranges elements, relationships, and boundaries so a complex field becomes legible at a glance. The overview stabilizes the overall picture before detail work or steering begins. | 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. |
Complexitydifferent | Medium | High | Medium | Medium |
Timedifferent | laufend | 30-90 min Setup, danach laufend | 1-3 h | Ongoing |
Participantsdifferent | 2-12 | 1-8 | 3-12 | 2-12 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Throughput Data, Flow Forecast, Slicing Rules | Forecast Percentiles, Throughput Dataset, Risk Communication | System Map, Dependencies, Leverage Points | Kanban board, WIP policies, Flow metrics |
Tagsno overlap | EstimationForecastingFlow | ForecastingFlowDelivery | Systems thinkingMappingBoundariesChange | FlowVisual managementDelivery |