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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 ALPEN Method
Operations
ALPEN Method
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.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.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
MediumMediumLowHigh
Timedifferent
3-14 Tage2–4 h review as a planning range; preparation and evaluation additional10-20 min dailyMehrere Wochen
Participantsdifferent
50+Designers, developers as users, and facilitation12-6 researchers plus sample
Formatdifferent
AsyncWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Survey Results, Charts, Segment InsightsPrioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsDaily Plan, Time Estimates, Review NotesDesired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses
Tagsno overlap
QuantitativeResearchValidation
ArchitectureEngineeringFeedbackValidationTasks
PlanningTime managementProductivityOperations
OutcomesInnovationResearchQuantitative
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