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| Criterion |  Product Discovery Outcome-Driven Innovation |  Operations Change Analysis |  Innovation Design Thinking |  UX Research Surveys |
|---|---|---|---|---|
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. | For a deviation after a change, the method isolates the influence of the altered condition. It narrows down which differences are relevant and which are just accompanying noise. | 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. | When a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal. |
Complexitydifferent | High | Medium | High | Medium |
Timedifferent | Mehrere Wochen | 45-120 min | 1 Tag bis mehrere Wochen | 3-14 Tage |
Participantsdifferent | 2-6 researchers plus sample | 2-6 | 4-10 | 50+ |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Change Matrix, Cause Hypotheses, Validation Questions, Action List | Problem Statement, Prototype, Test Learnings | Survey Results, Charts, Segment Insights |
Tagsno overlap | OutcomesInnovationResearchQuantitative | ChangeRoot causeTroubleshootingComparison | InnovationPrototypeResearch | QuantitativeResearchValidation |