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| Criterion |  Knowledge Modeling Domain Storytelling |  Operations After-Action Review |  Decision Making Decision Tree |  Operations Gemba Walk |
|---|---|---|---|---|
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. | 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. | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | When there is uncertainty about the real course of a process, the method brings observation to the place where work happens. It combines perception, follow-up questions, and process knowledge so decisions rest on actual workflows instead of assumptions. |
Complexitydifferent | Low | Low | Medium | Low |
Timedifferent | 1-2 h | 20-45 min | 30-90 min | 30-120 min |
Participantsdifferent | 2-8 | 3-12 | 1-6 | 2-6 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Domain Story, Glossary Notes, Process Narrative | Lessons learned, Action items, Event summary | Decision Tree, Option Map, Assumption List | Observation Notes, Improvement Ideas |
Tagsno overlap | KnowledgeDomain-Driven DesignProcess | LearningOperationsImprovement | DecisionTreeOptions | LeanObservationProcessOperations |