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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
A3 Problem-Solving workspace showing the question, observations, and next decision.
Operations
A3 Problem Solving
Paper illustration for Kaizen Event.
Operations
Kaizen Event
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 a complex deviation with several people involved, the method bundles problem, analysis, and decision onto one page. It creates a shared working space where causes, countermeasures, and follow-up fit together.For a tightly scoped process segment with noticeable waste, the method bundles shared energy for change. It suits situations that call for fast learning loops and visible adjustments.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 Tage45-90 min0.5-5 Tage20-45 min
Participantsdifferent
Based on research question2-54-10Based on research question
Formatdifferent
AsyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Findability Metrics, Path Analysis, Revised IAA3 Report, Action Plan, Root Cause AnalysisKaizen Charter, Waste List, Improvement Experiments, Standard Work UpdateContent groups, Label set, IA hypotheses
Tagsno overlap
Information architectureNavigationFindability
LeanProblem solvingCoachingOperations
LeanContinuous improvementOperations
Information architectureNavigationStructure
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