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| Criterion |  Product Discovery Outcome-Driven Innovation |  UX Research Surveys |  Innovation Contradiction Analysis |  Innovation Design Thinking |
|---|---|---|---|---|
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. | 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. | When a system should improve while another measure suffers as a result, the method makes the underlying conflict precisely formulable. It separates the desired effect from its side effect. This makes solutions possible that address the contradiction deliberately instead of half-heartedly. | 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 | High | Medium | Medium | High |
Timedifferent | Mehrere Wochen | 3-14 Tage | 60-120 min | 1 Tag bis mehrere Wochen |
Participantsdifferent | 2-6 researchers plus sample | 50+ | 2-8 | 4-10 |
Formatdifferent | Workshop + async | Async | Workshop | Workshop |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Survey Results, Charts, Segment Insights | Contradiction Statement, Abstraction Notes, Solution Principles, Concept Ideas | Problem Statement, Prototype, Test Learnings |
Tagsno overlap | OutcomesInnovationResearchQuantitative | QuantitativeResearchValidation | ContradictionsInnovationProblem solving | InnovationPrototypeResearch |