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| Criterion | ![]() Product Discovery Outcome-Driven Innovation | ![]() Innovation Design Thinking | ![]() UX Research Personas | ![]() UX Research User Interviews |
|---|---|---|---|---|
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. | 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. | When teams derive needs only from assumptions and real motives are missing, user interviews give direct access to behavior and meaning. Conversations from the target group's everyday life make patterns, tensions, and open questions solidly visible. |
Complexitydifferent | High | High | Medium | Low |
Timedifferent | Mehrere Wochen | 1 Tag bis mehrere Wochen | 1-3 Tage | 30–60 min per interview |
Participantsdifferent | 2-6 researchers plus sample | 4-10 | Internes Team | 1 participant per interview |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Problem Statement, Prototype, Test Learnings | Persona Profiles, Needs Summary, Scenario Notes | Interview Notes, Themes, Insight Summary |
Tags1 shared | OutcomesInnovationResearchQuantitative | InnovationPrototypeResearch | ResearchCustomerSynthesis | QualitativeResearchCustomerDiscovery |



