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| Criterion |  UX Research Affinity Diagramming |  Product Discovery Kano Model |  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 features need to be distinguished by their effect on satisfaction, it makes expectations and surprises comparable. It separates basic needs, performance contribution, and delight. | 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 | 1-2 Tage | 2-6 h |
Participantsdifferent | 3-10 | 10-50 | 3-10 |
Formatdifferent | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Kano Matrix, Feature Classes, Priority Themes | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | SynthesisQualitativeRoot cause | SatisfactionPrioritizationCustomer | CausalityIncidentRoot causeTimeline |
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