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| Criterion |  Operations Bottleneck Analysis |  Decision Making Constraint Analysis |  Domain Modeling EventStorming |  Decision Making Decision Tree |
|---|---|---|---|---|
Purposedifferent | 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. | 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 a domain consists of many events, rules, and states, it creates a shared modeling space for the team. It bundles language, flows, and boundaries before domain knowledge fragments into siloed views. | 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 | Medium | Low | Medium | Medium |
Timedifferent | 1-3 h | 30-90 min | 2-8 h | 30-90 min |
Participantsdifferent | 3-8 | 2-8 | 5-12 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Bottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | Decision Tree, Option Map, Assumption List |
Tagsno overlap | FlowMeasurementConstraints | ConstraintsDecisionPlanningOptions | Domain-Driven DesignEventsDiscoveryWorkshop | DecisionTreeOptions |