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Criterion
Paper illustration showing three sorted card stacks and an open question about a possible group.
UX Research
Card Sorting
Paper illustration of a scoring table with four factor columns, a calculator and three ordered initiative cards.
Product Strategy
RICE Scoring
Paper illustration of a branching category tree with a highlighted search path and possible dead ends.
UX Research
Tree Testing
Paper illustration for ABC Analysis
Operations
ABC Analysis
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 many initiatives compete for the same resources, it brings reach, impact, confidence, and effort into one shared ranking. It makes prioritization economically connectable.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.With many similar objects of differing economic significance, the method prioritizes effort by effect. It separates what needs regular steering from what rarely needs attention.
Complexitydifferent
LowMediumMediumLow
Timedifferent
20-45 min60-90 min1-2 Tage30-60 min
Participantsdifferent
Based on research question2-10Based on research question1-5
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncAsync
Outputdifferent
Content groups, Label set, IA hypothesesRICE Scores, Ranked List, Assumption LogFindability Metrics, Path Analysis, Revised IAABC Classification, Focus Rules, Control List
Tagsno overlap
Information architectureNavigationStructure
PrioritizationScoringRoadmapTradeoffs
Information architectureNavigationFindability
PrioritizationOperationsPortfolio
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