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| Criterion |  Operations Bottleneck Analysis |  Knowledge Modeling Domain Storytelling |  Operations Theory of Constraints |  Operations After-Action Review |
|---|---|---|---|---|
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. | Domain Storytelling translates domain knowledge into a shared narrative of actors, objects, and workflows. It is especially useful when language, rules, and process understanding must be tightly connected. | 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. | After missions or project phases with unclear outcomes, the method makes visible what actually happened and what can be learned from it. It separates course, effect, and causes so experience turns into solid improvement. |
Complexitydifferent | Medium | Low | High | Low |
Timedifferent | 1-3 h | 1-2 h | 2-4 h Analyse, laufend | 20-45 min |
Participantsdifferent | 3-8 | 2-8 | 3-12 | 3-12 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Bottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures | Domain Story, Glossary Notes, Process Narrative | Constraint Map, Improvement Plan, Flow Metrics | Lessons learned, Action items, Event summary |
Tagsno overlap | FlowMeasurementConstraints | KnowledgeDomain-Driven DesignProcess | OperationsConstraintsFlowImprovement | LearningOperationsImprovement |