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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 MoSCoW board with four columns and a visible release boundary.
Delivery
MoSCoW
Paper illustration of a branching category tree with a highlighted search path and possible dead ends.
UX Research
Tree Testing
Paper illustration of ICE Scoring with its method-specific working model.
Product Strategy
ICE Scoring
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 release carries too many demands and priorities are only ever negotiated, MoSCoW creates clear boundaries for the next cut. Must, Should, Could, and Won't make commitment, room for maneuver, and trade-off logic visible to everyone involved.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 ideas need sorting quickly, it condenses impact, confidence, and effort into one compact score. It connects customer value, product logic, and decision priorities. The result is captured as an ICE table and top-ideas list.
Complexitydifferent
LowLowMediumLow
Timedifferent
20-45 min30-90 min1-2 Tage30-60 min
Participantsdifferent
Based on research question3-12Based on research question2-8
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Content groups, Label set, IA hypothesesPrioritized Backlog, Release Scope, Tradeoff NotesFindability Metrics, Path Analysis, Revised IAICE Table, Top Idea List
Tagsno overlap
Information architectureNavigationStructure
PrioritizationScopeDecision
Information architectureNavigationFindability
PrioritizationScoringGrowthDecision
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