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| Criterion |  Knowledge Modeling Domain Storytelling |  Operations Theory of Constraints |  Operations ALPEN Method |  Operations After-Action Review |
|---|---|---|---|---|
Purposedifferent | 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. | With an overloaded day full of too many tasks, a realistic picture of the day emerges. The method connects estimating, deciding, and buffer thinking so planning fits available energy and time. | 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 | Low | High | Low | Low |
Timedifferent | 1-2 h | 2-4 h Analyse, laufend | 10-20 min daily | 20-45 min |
Participantsdifferent | 2-8 | 3-12 | 1 | 3-12 |
Formatdifferent | Workshop | Workshop + async | Async | Workshop + async |
Outputdifferent | Domain Story, Glossary Notes, Process Narrative | Constraint Map, Improvement Plan, Flow Metrics | Daily Plan, Time Estimates, Review Notes | Lessons learned, Action items, Event summary |
Tagsno overlap | KnowledgeDomain-Driven DesignProcess | OperationsConstraintsFlowImprovement | PlanningTime managementProductivityOperations | LearningOperationsImprovement |