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Criterion
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
A paper-based illustration representing Kano Model with its core stages and visible working result.
Product Discovery
Kano Model
Paper illustration showing three sorted card stacks and an open question about a possible group.
UX Research
Card Sorting
Purposedifferent
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 features need to be distinguished by their effect on satisfaction, it makes expectations and surprises comparable. It separates basic needs, performance contribution, and delight.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
1-2 Tage60-120 min1-2 Tage20-45 min
Participantsdifferent
Based on research question3-610-50Based on research question
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Findability Metrics, Path Analysis, Revised IAOpportunity Score Table, Top OutcomesKano Matrix, Feature Classes, Priority ThemesContent groups, Label set, IA hypotheses
Tagsno overlap
Information architectureNavigationFindability
PrioritizationDiscoveryOutcomesNeeds
SatisfactionPrioritizationCustomer
Information architectureNavigationStructure
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