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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 Shape Up with its method-specific working model.
Delivery
Shape Up
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.Shape Up helps clarify scope, sequence, and delivery flow. It makes work boundaries and decisions explicit and captures results as pitches, bet-table decisions, and hill charts.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
LowMediumMediumLow
Timedifferent
20-45 min6 Wochen Cycle + 2 Wochen Cool-Down1-2 Tage30-90 min
Participantsdifferent
Based on research question2-4 pro PitchBased on research question2-8
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Content groups, Label set, IA hypothesesPitches, Bet-table decisions, Hill charts, Cooldown outcomesFindability Metrics, Path Analysis, Revised IAConstraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries
Tagsno overlap
Information architectureNavigationStructure
PlanningDeliveryAutonomy
Information architectureNavigationFindability
ConstraintsDecisionPlanningOptions
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