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Criterion
Paper illustration showing three sorted card stacks and an open question about a possible group.
UX Research
Card Sorting
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration of a branching category tree with a highlighted search path and possible dead ends.
UX Research
Tree Testing
Paper matrix with six colored hat cards for information, feeling, value, caution, ideas and process control.
Facilitation
Six Thinking Hats
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.For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.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 a topic gets stuck too quickly in the same thinking mode, Six Thinking Hats deliberately separates the perspectives. This means facts, risks, creativity, and emotional signals get worked through one after another instead of mixed together.
Complexitydifferent
LowMediumMediumMedium
Timedifferent
20-45 min30-90 min1-2 Tage45-90 min
Participantsdifferent
Based on research question1-6Based on research question4-12
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop
Outputdifferent
Content groups, Label set, IA hypothesesDecision Tree, Option Map, Assumption ListFindability Metrics, Path Analysis, Revised IAPerspective Notes, Decision Inputs, Action Items
Tagsno overlap
Information architectureNavigationStructure
DecisionTreeOptions
Information architectureNavigationFindability
FacilitationOptionsDecision
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