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| Criterion |  Operations Bottleneck Analysis |  Engineering Kanban |  Agile Affinity Estimation |  Agile NoEstimates |
|---|---|---|---|---|
Purposedifferent | For a flow that backs up at one point, the method looks for the capacity limit with the greatest leverage. It explains why extra effort elsewhere barely improves throughput. | 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 many tasks need to be classified quickly, it sorts them by perceived effort and similarity. It reduces the effort of fine-grained estimation for large volumes. | 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 1-3 h | Ongoing | 30-90 min | laufend |
Participantsdifferent | 3-8 | 2-12 | 3-12 | 2-12 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Bottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures | Kanban board, WIP policies, Flow metrics | Affinity Size Map, Grouped Estimates, Unclear Items | Throughput Data, Flow Forecast, Slicing Rules |
Tagsno overlap | FlowMeasurementConstraints | FlowVisual managementDelivery | EstimationBacklogRelative sizing | EstimationForecastingFlow |