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Criterion
Surveys method illustration showing its working structure
UX Research
Surveys
Paper illustration of a branching category tree with a highlighted search path and possible dead ends.
UX Research
Tree Testing
Paper illustration of Opportunity Scoring with its method-specific working model.
Product Discovery
Opportunity Scoring
Paper illustration showing three sorted card stacks and an open question about a possible group.
UX Research
Card Sorting
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.When a navigation exists but search paths still fail, tree testing checks findability without visual distraction. The method shows whether labels, levels, and paths really lead to the intended destination.When opportunities need ranking by their effect, it makes importance and satisfaction directly comparable. It separates problem, assumption, solution, and evidence. The result is captured as an opportunity-score table and top outcomes.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.
Complexitydifferent
MediumMediumMediumLow
Timedifferent
3-14 Tage1-2 Tage60-120 min20-45 min
Participantsdifferent
50+Based on research question3-6Based on research question
Formatdifferent
AsyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Survey Results, Charts, Segment InsightsFindability Metrics, Path Analysis, Revised IAOpportunity Score Table, Top OutcomesContent groups, Label set, IA hypotheses
Tagsno overlap
QuantitativeResearchValidation
Information architectureNavigationFindability
PrioritizationDiscoveryOutcomesNeeds
Information architectureNavigationStructure
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