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| Criterion |  Operations ABC Analysis |  UX Research Usability Testing |  Innovation Design Thinking |  Product Discovery Outcome-Driven Innovation |
|---|---|---|---|---|
Purposedifferent | With many similar objects of differing economic significance, the method prioritizes effort by effect. It separates what needs regular steering from what rarely needs attention. | When a product is built but people get stuck on tasks, usability testing shows the friction at concrete points. Observed use instead of self-report makes visible where orientation, understanding, or interaction breaks down. | 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 | Low | Medium | High | High |
Timedifferent | 30-60 min | 1-2 h je Session | 1 Tag bis mehrere Wochen | Mehrere Wochen |
Participantsdifferent | 1-5 | Based on research question | 4-10 | 2-6 researchers plus sample |
Formatdifferent | Async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | ABC Classification, Focus Rules, Control List | Usability Issues, Severity List, Recommendations | Problem Statement, Prototype, Test Learnings | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses |
Tagsno overlap | PrioritizationOperationsPortfolio | ValidationUXPrototype | InnovationPrototypeResearch | OutcomesInnovationResearchQuantitative |