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| Criterion |  UX Research Affinity Diagramming |  UX Research Personas |  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 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. | 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 | 1-3 Tage | 30-60 min | 15-30 min |
Participantsdifferent | 3-10 | Internes Team | 1-6 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Persona Profiles, Needs Summary, Scenario Notes | Pareto Chart, Top Causes, Focus List | Eisenhower Matrix, Action List, Delegation Notes |
Tagsno overlap | SynthesisQualitativeRoot cause | ResearchCustomerSynthesis | PrioritizationQualityFocusRoot cause | PrioritizationFocusTasks |