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| Criterion | ![]() Innovation Design Thinking | ![]() Engineering Fault Isolation | ![]() Product Discovery Outcome-Driven Innovation | ![]() UX Research Surveys |
|---|---|---|---|---|
Purposedifferent | 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. | In technical failures, the visible symptom often gets mixed up with the actual cause. Fault Isolation narrows the fault space and progressively reduces which part of the system is truly affected. | 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. |
Complexitydifferent | High | Medium | High | Medium |
Timedifferent | 1 Tag bis mehrere Wochen | 30-180 min | Mehrere Wochen | 3-14 Tage |
Participantsdifferent | 4-10 | 1-6 | 2-6 researchers plus sample | 50+ |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Async |
Outputdifferent | Problem Statement, Prototype, Test Learnings | Fault Isolation Map, Test Log, Excluded Hypotheses, Narrowed Fault Area | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Survey Results, Charts, Segment Insights |
Tagsno overlap | InnovationPrototypeResearch | TroubleshootingDiagnosisEngineering | OutcomesInnovationResearchQuantitative | QuantitativeResearchValidation |



