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| Criterion |  UX Research Affinity Diagramming |  Product Discovery Jobs to Be Done |  Innovation Design Thinking |  Product Discovery Outcome-Driven Innovation |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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. |
Complexitydifferent | Low | Medium | High | High |
Timedifferent | 45–90 min | 1-3 Wochen | 1 Tag bis mehrere Wochen | Mehrere Wochen |
Participantsdifferent | 3-10 | 5-12 Interviews | 4-10 | 2-6 researchers plus sample |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Job Stories, Outcome Statements, Opportunity List | Problem Statement, Prototype, Test Learnings | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses |
Tagsno overlap | SynthesisQualitativeRoot cause | CustomerOutcomesNeeds | InnovationPrototypeResearch | OutcomesInnovationResearchQuantitative |