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Criterion
Paper illustration for OODA Loop.
Decision Making
OODA Loop
Paper illustration showing three sorted card stacks and an open question about a possible group.
UX Research
Card Sorting
Paper illustration of a branching category tree with a highlighted search path and possible dead ends.
UX Research
Tree Testing
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
In dynamic situations, decisions become outdated faster than they can be prepared.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.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 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.DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report.
Complexitydifferent
MediumLowMediumLow
Timedifferent
15-60 min je Zyklus20-45 min1-2 Tage1-2 h
Participantsdifferent
1-8Based on research questionBased on research question2-8
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Situation Assessment, Decision Loop, Action UpdatesContent groups, Label set, IA hypothesesFindability Metrics, Path Analysis, Revised IADIBB document, Belief list, Bet list, Learning report
Tagsno overlap
DecisionChangeLearningStrategy
Information architectureNavigationStructure
Information architectureNavigationFindability
StrategyDecisionAssumptionsHypothesis
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