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| Criterion |  UX Research Affinity Diagramming |  Product Discovery Kano Model |  Decision Making Pareto Analysis |  Decision Making Eisenhower Matrix |
|---|---|---|---|---|
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. | In many problem situations, effect is distributed unequally across many causes. A Pareto Analysis separates the few drivers with high leverage from the long remainder and focuses attention on what measurably moves the needle. | It separates true priorities from noise so it becomes clear what should be done now, scheduled, delegated, or dropped. |
Complexitydifferent | Low | Medium | Low | Low |
Timedifferent | 45–90 min | 1-2 Tage | 30-60 min | 15-30 min |
Participantsdifferent | 3-10 | 10-50 | 1-6 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Kano Matrix, Feature Classes, Priority Themes | Pareto Chart, Top Causes, Focus List | Eisenhower Matrix, Action List, Delegation Notes |
Tagsno overlap | SynthesisQualitativeRoot cause | SatisfactionPrioritizationCustomer | PrioritizationQualityFocusRoot cause | PrioritizationFocusTasks |