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| Criterion |  Knowledge Modeling Domain Storytelling |  Operations Bottleneck Analysis |  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. | 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. | 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 | Medium | Medium |
Timedifferent | 1-2 h | 1-3 h | 30-90 min |
Participantsdifferent | 2-8 | 3-8 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Domain Story, Glossary Notes, Process Narrative | Bottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures | Decision Tree, Option Map, Assumption List |
Tagsno overlap | KnowledgeDomain-Driven DesignProcess | FlowMeasurementConstraints | DecisionTreeOptions |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
