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| Criterion |  Product Discovery Outcome-Driven Innovation |  UX Research User Interviews |  UX Research Affinity Diagramming |  Product Discovery Jobs to Be Done |
|---|---|---|---|---|
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. | When switching motives and progress are unclear, it reconstructs the situation from real customer circumstances. It shows why a switch happens and what kind of progress is being sought. |
Complexitydifferent | High | Low | Low | Medium |
Timedifferent | Mehrere Wochen | 30–60 min per interview | 45–90 min | 1-3 Wochen |
Participantsdifferent | 2-6 researchers plus sample | 1 participant per interview | 3-10 | 5-12 Interviews |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Interview Notes, Themes, Insight Summary | Theme clusters, Insight statements, Opportunity areas | Job Stories, Outcome Statements, Opportunity List |
Tagsno overlap | OutcomesInnovationResearchQuantitative | QualitativeResearchCustomerDiscovery | SynthesisQualitativeRoot cause | CustomerOutcomesNeeds |