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Criterion
Paper illustration showing three sorted card stacks and an open question about a possible group.
UX Research
Card Sorting
First-click Testing method illustration showing its working structure
UX Research
First-click Testing
Paper illustration of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
Surveys method illustration showing its working structure
UX Research
Surveys
Purposedifferent
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 users immediately turn the wrong way on a screen or wireframe, first click testing checks initial orientation at high speed. The first click shows early whether expectation, labeling, and wayfinding fit together.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 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
LowLowHighMedium
Timedifferent
20-45 min1-2 TageMehrere Wochen3-14 Tage
Participantsdifferent
Based on research question10-302-6 researchers plus sample50+
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncAsync
Outputdifferent
Content groups, Label set, IA hypothesesClick Heatmap, Success Rate, Design RecommendationsDesired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesSurvey Results, Charts, Segment Insights
Tagsno overlap
Information architectureNavigationStructure
UXNavigationFindabilityValidation
OutcomesInnovationResearchQuantitative
QuantitativeResearchValidation
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