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Criterion
Paper illustration of shared options, independently placed voting dots, and a highlighted shortlist.
Facilitation
Dot Voting
Paper illustration showing three sorted card stacks and an open question about a possible group.
UX Research
Card Sorting
First-click Testing method illustration showing its working structure
UX Research
First-click Testing
Paper illustration of a branching category tree with a highlighted search path and possible dead ends.
UX Research
Tree Testing
Purposedifferent
When a workshop has produced too many options and the group needs to condense quickly, dot voting makes preferences visible in a short time. It bundles individual votes into a solid signal for the next selection.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 users immediately turn the wrong way on a screen or wireframe, first click testing checks initial orientation at high speed. The first click shows early whether expectation, labeling, and wayfinding fit together.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.
Complexitydifferent
LowLowLowMedium
Timedifferent
5-15 min20-45 min1-2 Tage1-2 Tage
Participantsdifferent
3-20Based on research question10-30Based on research question
Formatdifferent
WorkshopWorkshop + asyncAsyncAsync
Outputdifferent
Ranked list, Consensus signal, ShortlistContent groups, Label set, IA hypothesesClick Heatmap, Success Rate, Design RecommendationsFindability Metrics, Path Analysis, Revised IA
Tagsno overlap
FacilitationVotingConsensusPrioritization
Information architectureNavigationStructure
UXNavigationFindabilityValidation
Information architectureNavigationFindability
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