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Criterion
Design sheets and interface cards connect to jointly written pseudocode with highlighted unresolved questions.
Architecture
ARID (Active Reviews for Intermediate Designs)
Paper illustration of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
Paper illustration showing three sorted card stacks and an open question about a possible group.
UX Research
Card Sorting
Surveys method illustration showing its working structure
UX Research
Surveys
Purposedifferent
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.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 content only makes sense internally and users can't find the structure again, card sorting exposes their mental order. Terms, groups, and naming are then aligned with the target group's expectations.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
MediumHighLowMedium
Timedifferent
2–4 h review as a planning range; preparation and evaluation additionalMehrere Wochen20-45 min3-14 Tage
Participantsdifferent
Designers, developers as users, and facilitation2-6 researchers plus sampleBased on research question50+
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsDesired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesContent groups, Label set, IA hypothesesSurvey Results, Charts, Segment Insights
Tagsno overlap
ArchitectureEngineeringFeedbackValidationTasks
OutcomesInnovationResearchQuantitative
Information architectureNavigationStructure
QuantitativeResearchValidation
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