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| Criterion |  UX Research Personas |  Product Discovery Kano Model |  UX Research Surveys |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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. | 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 a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal. | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. |
Complexitydifferent | Medium | Medium | Medium | High |
Timedifferent | 1-3 Tage | 1-2 Tage | 3-14 Tage | 1-4 Wochen |
Participantsdifferent | Internes Team | 10-50 | 50+ | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async | Async |
Outputdifferent | Persona Profiles, Needs Summary, Scenario Notes | Kano Matrix, Feature Classes, Priority Themes | Survey Results, Charts, Segment Insights | Experiment results, Decision log, Learning summary |
Tagsno overlap | ResearchCustomerSynthesis | SatisfactionPrioritizationCustomer | QuantitativeResearchValidation | ExperimentsGrowthAnalyticsValidation |