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| Criterion |  Operations Bottleneck Analysis |  Operations Learning Review |  Agile NoEstimates |  Operations Theory of Constraints |
|---|---|---|---|---|
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. | After a project phase with mixed results, the method makes learning from the individual case reusable. It connects events, decisions, and systemic conditions into robust insights. | 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. | 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 | Medium | Medium | Medium | High |
Timedifferent | 1-3 h | 1-3 h | laufend | 2-4 h Analyse, laufend |
Participantsdifferent | 3-8 | 3-10 | 2-12 | 3-12 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Bottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures | Learning Review Notes, System Factors, Improvement Actions | Throughput Data, Flow Forecast, Slicing Rules | Constraint Map, Improvement Plan, Flow Metrics |
Tagsno overlap | FlowMeasurementConstraints | LearningRetrospectiveIncidentOperations | EstimationForecastingFlow | OperationsConstraintsFlowImprovement |