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| Criterion |  UX Research Affinity Diagramming |  Domain Modeling Context Map |  Operations Root Cause Analysis |  Operations Root Cause Tree 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 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. | 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. | 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 | Medium |
Timedifferent | 45–90 min | 1-3 h | 1-4 h | 1-3 h |
Participantsdifferent | 3-10 | 2-8 | 3-8 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Context Map, Integration Patterns, Boundary Notes | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Cause Tree, Evidence Notes, Countermeasures |
Tagsno overlap | SynthesisQualitativeRoot cause | Domain-Driven DesignBoundariesStrategy | Root causeProblem solvingQualityIncident | Root causeTreeIncidentQuality |