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| Criterion |  UX Research Surveys |  Operations Causal Factor Analysis |  Innovation Design Thinking |  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 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. | 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 | Medium | High | High | High |
Timedifferent | 3-14 Tage | 2-6 h | 1 Tag bis mehrere Wochen | Mehrere Wochen |
Participantsdifferent | 50+ | 3-10 | 4-10 | 2-6 researchers plus sample |
Formatdifferent | Async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Survey Results, Charts, Segment Insights | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions | Problem Statement, Prototype, Test Learnings | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses |
Tagsno overlap | QuantitativeResearchValidation | CausalityIncidentRoot causeTimeline | InnovationPrototypeResearch | OutcomesInnovationResearchQuantitative |