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| Criterion |  UX Research Surveys |  Innovation Design Thinking |  Operations Causal Factor Analysis |  Product Discovery Outcome-Driven Innovation |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events. | 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 | Medium | High | High | High |
Timedifferent | 3-14 Tage | 1 Tag bis mehrere Wochen | 2-6 h | Mehrere Wochen |
Participantsdifferent | 50+ | 4-10 | 3-10 | 2-6 researchers plus sample |
Formatdifferent | Async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Survey Results, Charts, Segment Insights | Problem Statement, Prototype, Test Learnings | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses |
Tagsno overlap | QuantitativeResearchValidation | InnovationPrototypeResearch | CausalityIncidentRoot causeTimeline | OutcomesInnovationResearchQuantitative |