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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
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration of the Lightning Decision Jam working structure.
Facilitation
Decision Jam
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.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 decision is stuck, Decision Jam loosens the knot through structured separation of problem, idea, and selection. The format creates movement without jumping prematurely at the first seemingly elegant answer.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
MediumMediumLowLow
Timedifferent
1-2 Tage30-90 min60-90 min20-45 min
Participantsdifferent
Based on research question1-64-10Based on research question
Formatdifferent
AsyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Findability Metrics, Path Analysis, Revised IADecision Tree, Option Map, Assumption ListProblem Cluster, Prioritized Challenge, ExperimentContent groups, Label set, IA hypotheses
Tagsno overlap
Information architectureNavigationFindability
DecisionTreeOptions
FacilitationDecisionProblem solvingWorkshop
Information architectureNavigationStructure
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