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| Criterion |  Decision Making Pareto Analysis |  Domain Modeling Context Map |  Operations Root Cause Tree Analysis |
|---|---|---|---|
Purposedifferent | In many problem situations, effect is distributed unequally across many causes. A Pareto Analysis separates the few drivers with high leverage from the long remainder and focuses attention on what measurably moves the needle. | When several contexts need to talk to each other, it makes their relationships and dependencies legible. It helps sort integration pressure and responsibilities across system boundaries. | For a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie. |
Complexitydifferent | Low | Medium | Medium |
Timedifferent | 30-60 min | 1-3 h | 1-3 h |
Participantsdifferent | 1-6 | 2-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Pareto Chart, Top Causes, Focus List | Context Map, Integration Patterns, Boundary Notes | Cause Tree, Evidence Notes, Countermeasures |
Tagsno overlap | PrioritizationQualityFocusRoot cause | Domain-Driven DesignBoundariesStrategy | Root causeTreeIncidentQuality |
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