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| Criterion | ![]() Product Discovery Outcome-Driven Innovation | ![]() Product Discovery Kano Model | ![]() Innovation Design Thinking | ![]() UX Research Personas |
|---|---|---|---|---|
Purposedifferent | Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs. | 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. | 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 | High | Medium | High | Medium |
Timedifferent | Mehrere Wochen | 1-2 Tage | 1 Tag bis mehrere Wochen | 1-3 Tage |
Participantsdifferent | 2-6 researchers plus sample | 10-50 | 4-10 | Internes Team |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Kano Matrix, Feature Classes, Priority Themes | Problem Statement, Prototype, Test Learnings | Persona Profiles, Needs Summary, Scenario Notes |
Tagsno overlap | OutcomesInnovationResearchQuantitative | SatisfactionPrioritizationCustomer | InnovationPrototypeResearch | ResearchCustomerSynthesis |



