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| Criterion |  Product Discovery Opportunity Scoring |  Product Discovery Outcome-Driven Innovation |  UX Research User Interviews |  Innovation Design Thinking |
|---|---|---|---|---|
Purposedifferent | When opportunities need ranking by their effect, it makes importance and satisfaction directly comparable. It separates problem, assumption, solution, and evidence. The result is captured as an opportunity-score table and top outcomes. | 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. | 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 | Medium | High | Low | High |
Timedifferent | 60-120 min | Mehrere Wochen | 30–60 min per interview | 1 Tag bis mehrere Wochen |
Participantsdifferent | 3-6 | 2-6 researchers plus sample | 1 participant per interview | 4-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Opportunity Score Table, Top Outcomes | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Interview Notes, Themes, Insight Summary | Problem Statement, Prototype, Test Learnings |
Tagsno overlap | PrioritizationDiscoveryOutcomesNeeds | OutcomesInnovationResearchQuantitative | QualitativeResearchCustomerDiscovery | InnovationPrototypeResearch |