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| Criterion |  UX Research Affinity Diagramming |  Operations A3 Problem Solving |  UX Research Card Sorting |  Operations Kepner-Tregoe |
|---|---|---|---|---|
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. | For a complex deviation with several people involved, the method bundles problem, analysis, and decision onto one page. It creates a shared working space where causes, countermeasures, and follow-up fit together. | When content only makes sense internally and users can't find the structure again, card sorting exposes their mental order. Terms, groups, and naming are then aligned with the target group's expectations. | For a disturbance that's hard to pin down, the method cleanly separates problem, cause, and decision. It reduces mixing when symptoms allow several interpretations. |
Complexitydifferent | Low | Medium | Low | High |
Timedifferent | 45–90 min | 45-90 min | 20-45 min | 2-8 h |
Participantsdifferent | 3-10 | 2-5 | Based on research question | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | A3 Report, Action Plan, Root Cause Analysis | Content groups, Label set, IA hypotheses | Problem Analysis, Decision Analysis, Risk Plan |
Tagsno overlap | SynthesisQualitativeRoot cause | LeanProblem solvingCoachingOperations | Information architectureNavigationStructure | Problem solvingRoot causeDecisionOperations |