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| Criterion |  UX Research Affinity Diagramming |  UX Research Personas |  Operations Causal Factor 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 target groups stay too vague and teams talk about the same people differently, personas create a shared, solid picture of usage. Condensed profiles make needs, contexts, and differences tangible enough for decisions. | For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events. |
Complexitydifferent | Low | Medium | High |
Timedifferent | 45–90 min | 1-3 Tage | 2-6 h |
Participantsdifferent | 3-10 | Internes Team | 3-10 |
Formatdifferent | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Persona Profiles, Needs Summary, Scenario Notes | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | SynthesisQualitativeRoot cause | ResearchCustomerSynthesis | CausalityIncidentRoot causeTimeline |
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