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Criterion
Surveys method illustration showing its working structure
UX Research
Surveys
Design sheets and interface cards connect to jointly written pseudocode with highlighted unresolved questions.
Architecture
ARID (Active Reviews for Intermediate Designs)
Paper illustration for Solution Interview
Product Discovery
Solution Interview
Paper illustration of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
Purposedifferent
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.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 a solution idea is already on the table, it checks how it is understood and evaluated. It looks for resonance, objections, and missing fit early in the conversation.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
MediumMediumMediumHigh
Timedifferent
3-14 Tage2–4 h review as a planning range; preparation and evaluation additional30-60 min je InterviewMehrere Wochen
Participantsdifferent
50+Designers, developers as users, and facilitation5-10 Interviews2-6 researchers plus sample
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Survey Results, Charts, Segment InsightsPrioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsSolution Feedback, Objection List, Validation NotesDesired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses
Tagsno overlap
QuantitativeResearchValidation
ArchitectureEngineeringFeedbackValidationTasks
ValidationInterviewsPrototype
OutcomesInnovationResearchQuantitative
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