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Criterion
Paper illustration showing three sorted card stacks and an open question about a possible group.
UX Research
Card Sorting
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
Paper illustration of a branching category tree with a highlighted search path and possible dead ends.
UX Research
Tree Testing
Paper illustration for Constraint Analysis.
Decision Making
Constraint 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.In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures.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 an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped.
Complexitydifferent
LowLowMediumLow
Timedifferent
20-45 min20–45 min1-2 Tage30-90 min
Participantsdifferent
Based on research questionSmall cross-functional groupBased on research question2-8
Formatdifferent
Workshop + asyncWorkshopAsyncWorkshop + async
Outputdifferent
Content groups, Label set, IA hypothesesRisk list, Mitigation plan, Assumption logFindability Metrics, Path Analysis, Revised IAConstraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries
Tagsno overlap
Information architectureNavigationStructure
RiskDecisionFailurePlanning
Information architectureNavigationFindability
ConstraintsDecisionPlanningOptions
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