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| Criterion |  Operations Theory of Constraints |  Knowledge Modeling Domain Storytelling |  Operations Bottleneck Analysis |  Operations After-Action Review |
|---|---|---|---|---|
Purposedifferent | 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. | 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 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 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 | High | Low | Medium | Low |
Timedifferent | 2-4 h Analyse, laufend | 1-2 h | 1-3 h | 20-45 min |
Participantsdifferent | 3-12 | 2-8 | 3-8 | 3-12 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Constraint Map, Improvement Plan, Flow Metrics | Domain Story, Glossary Notes, Process Narrative | Bottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures | Lessons learned, Action items, Event summary |
Tagsno overlap | OperationsConstraintsFlowImprovement | KnowledgeDomain-Driven DesignProcess | FlowMeasurementConstraints | LearningOperationsImprovement |