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| Criterion |  Product Discovery Kano Model |  Product Discovery Solution Interview |  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 solution idea is already on the table, it checks how it is understood and evaluated. It looks for resonance, objections, and missing fit early in the conversation. | 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 | 30-60 min je Interview | 1 Tag bis mehrere Wochen | 1-3 Tage |
Participantsdifferent | 10-50 | 5-10 Interviews | 4-10 | Internes Team |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Kano Matrix, Feature Classes, Priority Themes | Solution Feedback, Objection List, Validation Notes | Problem Statement, Prototype, Test Learnings | Persona Profiles, Needs Summary, Scenario Notes |
Tagsno overlap | SatisfactionPrioritizationCustomer | ValidationInterviewsPrototype | InnovationPrototypeResearch | ResearchCustomerSynthesis |