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| Criterion |  Product Discovery Outcome-Driven Innovation |  UX Research User Interviews |  UX Research Affinity Diagramming |  Innovation Design Thinking |
|---|---|---|---|---|
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 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. | When research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer. | 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. |
Complexitydifferent | High | Low | Low | High |
Timedifferent | Mehrere Wochen | 30–60 min per interview | 45–90 min | 1 Tag bis mehrere Wochen |
Participantsdifferent | 2-6 researchers plus sample | 1 participant per interview | 3-10 | 4-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Interview Notes, Themes, Insight Summary | Theme clusters, Insight statements, Opportunity areas | Problem Statement, Prototype, Test Learnings |
Tagsno overlap | OutcomesInnovationResearchQuantitative | QualitativeResearchCustomerDiscovery | SynthesisQualitativeRoot cause | InnovationPrototypeResearch |