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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 showing three sorted card stacks and an open question about a possible group.
UX Research
Card Sorting
Paper illustration of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
Design Thinking as a learning loop: an observation notebook, a focused problem statement, different idea sketches, a cardboard prototype and user-test notes. Feedback leads to new understanding.
Innovation
Design Thinking
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.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.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.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
MediumLowHighHigh
Timedifferent
2–4 h review as a planning range; preparation and evaluation additional20-45 minMehrere Wochen1 Tag bis mehrere Wochen
Participantsdifferent
Designers, developers as users, and facilitationBased on research question2-6 researchers plus sample4-10
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsContent groups, Label set, IA hypothesesDesired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesProblem Statement, Prototype, Test Learnings
Tagsno overlap
ArchitectureEngineeringFeedbackValidationTasks
Information architectureNavigationStructure
OutcomesInnovationResearchQuantitative
InnovationPrototypeResearch
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