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| Criterion |  UX Research Affinity Diagramming |  Domain Modeling EventStorming |  Operations Root Cause Tree Analysis |  Operations Root Cause Analysis |
|---|---|---|---|---|
Purposedifferent | When research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer. | 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 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. | When a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another. |
Complexitydifferent | Low | Medium | Medium | Medium |
Timedifferent | 45–90 min | 2-8 h | 1-3 h | 1-4 h |
Participantsdifferent | 3-10 | 5-12 | 2-8 | 3-8 |
Formatdifferent | Workshop | Workshop | Workshop | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Event Timeline, Ubiquitous Language, Boundaries, Open Questions | Cause Tree, Evidence Notes, Countermeasures | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tagsno overlap | SynthesisQualitativeRoot cause | Domain-Driven DesignEventsDiscoveryWorkshop | Root causeTreeIncidentQuality | Root causeProblem solvingQualityIncident |