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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 for Constraint Analysis.
Decision Making
Constraint Analysis
Paper illustration of a branching category tree with a highlighted search path and possible dead ends.
UX Research
Tree Testing
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
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 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.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.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.
Complexitydifferent
LowLowMediumLow
Timedifferent
20-45 min30-90 min1-2 Tage20–45 min
Participantsdifferent
Based on research question2-8Based on research questionSmall cross-functional group
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop
Outputdifferent
Content groups, Label set, IA hypothesesConstraint List, Hard/Soft Classification, Option Impact Notes, Decision BoundariesFindability Metrics, Path Analysis, Revised IARisk list, Mitigation plan, Assumption log
Tagsno overlap
Information architectureNavigationStructure
ConstraintsDecisionPlanningOptions
Information architectureNavigationFindability
RiskDecisionFailurePlanning
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