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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 branching category tree with a highlighted search path and possible dead ends.
UX Research
Tree Testing
Paper illustration of Barrier Analysis with its method-specific working model.
Operations
Barrier Analysis
Paper illustration for Causal Factor Analysis.
Operations
Causal Factor 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 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 risk that can only be managed through multiple layers of protection, the method examines the effectiveness of each barrier. It shows where safeguards are missing, too weak, or fail under real conditions.For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events.
Complexitydifferent
LowMediumMediumHigh
Timedifferent
20-45 min1-2 Tage2-4 h2-6 h
Participantsdifferent
Based on research questionBased on research question2-63-10
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Content groups, Label set, IA hypothesesFindability Metrics, Path Analysis, Revised IABarrier Inventory, Failure Analysis per Barrier, Action BacklogEvent Timeline, Causal Factor Chart, Cause List, Corrective Actions
Tagsno overlap
Information architectureNavigationStructure
Information architectureNavigationFindability
Root causeSafetyIncident
CausalityIncidentRoot causeTimeline
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