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| Criterion |  Product Discovery Outcome-Driven Innovation |  Innovation Contradiction Analysis |  UX Research Tree Testing |  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 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. | When a navigation exists but search paths still fail, tree testing checks findability without visual distraction. The method shows whether labels, levels, and paths really lead to the intended destination. | 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 | 60-120 min | 1-2 Tage | 1 Tag bis mehrere Wochen |
Participantsdifferent | 2-6 researchers plus sample | 2-8 | Based on research question | 4-10 |
Formatdifferent | Workshop + async | Workshop | Async | Workshop |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Contradiction Statement, Abstraction Notes, Solution Principles, Concept Ideas | Findability Metrics, Path Analysis, Revised IA | Problem Statement, Prototype, Test Learnings |
Tagsno overlap | OutcomesInnovationResearchQuantitative | ContradictionsInnovationProblem solving | Information architectureNavigationFindability | InnovationPrototypeResearch |