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| Criterion |  Operations Visual Management |  Agile NoEstimates |  Delivery Monte Carlo Forecasting |  Operations Theory of Constraints |
|---|---|---|---|---|
Purposedifferent | With high tempo and many parallel topics, the method makes status, deviations, and priorities visible at a glance. It reduces search effort and prevents what matters from getting lost in daily work. | 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. | For a system that does not get faster despite effort, the method directs attention to the bottleneck. It concentrates improvement on the point that actually limits throughput. |
Complexitydifferent | Low | Medium | High | High |
Timedifferent | Ongoing | laufend | 30-90 min Setup, danach laufend | 2-4 h Analyse, laufend |
Participantsdifferent | 1-20 | 2-12 | 1-8 | 3-12 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Visual Board, Status Indicators, Exception Cues | Throughput Data, Flow Forecast, Slicing Rules | Forecast Percentiles, Throughput Dataset, Risk Communication | Constraint Map, Improvement Plan, Flow Metrics |
Tagsno overlap | SignalsOperationsVisual management | EstimationForecastingFlow | ForecastingFlowDelivery | OperationsConstraintsFlowImprovement |