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Criterion
Paper illustration of a branching category tree with a highlighted search path and possible dead ends.
UX Research
Tree Testing
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration showing three sorted card stacks and an open question about a possible group.
UX Research
Card Sorting
Paper illustration for OODA Loop.
Decision Making
OODA Loop
Purposedifferent
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 knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.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Terms, groups, and naming are then aligned with the target group's expectations.In dynamic situations, decisions become outdated faster than they can be prepared. The OODA Loop holds observing, orienting, deciding, and acting together as a recurring rhythm so reaction does not slide into inertia.
Complexitydifferent
MediumHighLowMedium
Timedifferent
1-2 Tage1-4 Wochen20-45 min15-60 min je Zyklus
Participantsdifferent
Based on research question6-30 ExpertenBased on research question1-8
Formatdifferent
AsyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Findability Metrics, Path Analysis, Revised IAExpert Forecast, Consensus Range, Assumption NotesContent groups, Label set, IA hypothesesSituation Assessment, Decision Loop, Action Updates
Tagsno overlap
Information architectureNavigationFindability
ForecastingExpertsDecisionStrategy
Information architectureNavigationStructure
DecisionChangeLearningStrategy
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