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