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| Criterion |  Product Discovery Kano Model |  UX Research Surveys |  Innovation Design Thinking |  UX Research Personas |
|---|---|---|---|---|
Purposedifferent | 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. | For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service. | 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. |
Complexitydifferent | Medium | Medium | High | Medium |
Timedifferent | 1-2 Tage | 3-14 Tage | 1 Tag bis mehrere Wochen | 1-3 Tage |
Participantsdifferent | 10-50 | 50+ | 4-10 | Internes Team |
Formatdifferent | Workshop + async | Async | Workshop | Workshop + async |
Outputdifferent | Kano Matrix, Feature Classes, Priority Themes | Survey Results, Charts, Segment Insights | Problem Statement, Prototype, Test Learnings | Persona Profiles, Needs Summary, Scenario Notes |
Tagsno overlap | SatisfactionPrioritizationCustomer | QuantitativeResearchValidation | InnovationPrototypeResearch | ResearchCustomerSynthesis |