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| Criterion |  Knowledge Modeling Domain Storytelling |  Decision Making Constraint Analysis |  Operations Gemba Walk |  Decision Making Decision Tree |
|---|---|---|---|---|
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. | When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. | 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. | 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. |
Complexitydifferent | Low | Low | Low | Medium |
Timedifferent | 1-2 h | 30-90 min | 30-120 min | 30-90 min |
Participantsdifferent | 2-8 | 2-8 | 2-6 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Domain Story, Glossary Notes, Process Narrative | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Observation Notes, Improvement Ideas | Decision Tree, Option Map, Assumption List |
Tagsno overlap | KnowledgeDomain-Driven DesignProcess | ConstraintsDecisionPlanningOptions | LeanObservationProcessOperations | DecisionTreeOptions |