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| Criterion |  UX Research Affinity Diagramming |  Product Discovery Kano Model |  UX Research Personas |  Decision Making Pareto 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. | 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. |
Complexitydifferent | Low | Medium | Medium | Low |
Timedifferent | 45–90 min | 1-2 Tage | 1-3 Tage | 30-60 min |
Participantsdifferent | 3-10 | 10-50 | Internes Team | 1-6 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Kano Matrix, Feature Classes, Priority Themes | Persona Profiles, Needs Summary, Scenario Notes | Pareto Chart, Top Causes, Focus List |
Tagsno overlap | SynthesisQualitativeRoot cause | SatisfactionPrioritizationCustomer | ResearchCustomerSynthesis | PrioritizationQualityFocusRoot cause |