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| Criterion |  Product Discovery Outcome-Driven Innovation |  Architecture ARID (Active Reviews for Intermediate Designs) |  Product Discovery Smoke Test |  UX Research Surveys |
|---|---|---|---|---|
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. | ARID examines how well developers can work with a technical design. It focuses on a part of the system that can still be revised, between the architecture overview and the detailed specification. | When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | 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 | Low | Medium |
Timedifferent | Mehrere Wochen | 2–4 h review as a planning range; preparation and evaluation additional | 1-5 Tage | 3-14 Tage |
Participantsdifferent | 2-6 researchers plus sample | Designers, developers as users, and facilitation | Nutzertraffic | 50+ |
Formatdifferent | Workshop + async | Workshop + async | Async | Async |
Outputdifferent | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions | Interest Metrics, Conversion Signal, Learning Note | Survey Results, Charts, Segment Insights |
Tagsno overlap | OutcomesInnovationResearchQuantitative | ArchitectureEngineeringFeedbackValidationTasks | ValidationExperimentsDemandGrowth | QuantitativeResearchValidation |