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| Criterion |  Product Discovery Outcome-Driven Innovation |  UX Research Surveys |  Operations ALPEN Method |  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. | With an overloaded day full of too many tasks, a realistic picture of the day emerges. The method connects estimating, deciding, and buffer thinking so planning fits available energy and time. | 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 | Low | High |
Timedifferent | Mehrere Wochen | 3-14 Tage | 10-20 min daily | 1 Tag bis mehrere Wochen |
Participantsdifferent | 2-6 researchers plus sample | 50+ | 1 | 4-10 |
Formatdifferent | Workshop + async | Async | Async | Workshop |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Survey Results, Charts, Segment Insights | Daily Plan, Time Estimates, Review Notes | Problem Statement, Prototype, Test Learnings |
Tagsno overlap | OutcomesInnovationResearchQuantitative | QuantitativeResearchValidation | PlanningTime managementProductivityOperations | InnovationPrototypeResearch |