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Criterion
Paper illustration for OODA Loop.
Decision Making
OODA Loop
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
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
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In dynamic situations, decisions become outdated faster than they can be prepared.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 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.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.
Complexitydifferent
MediumMediumLowHigh
Timedifferent
15-60 min je Zyklus1-2 Tage1-2 h1-4 Wochen
Participantsdifferent
1-8Based on research question2-86-30 Experten
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncAsync
Outputdifferent
Situation Assessment, Decision Loop, Action UpdatesFindability Metrics, Path Analysis, Revised IADIBB document, Belief list, Bet list, Learning reportExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
DecisionChangeLearningStrategy
Information architectureNavigationFindability
StrategyDecisionAssumptionsHypothesis
ForecastingExpertsDecisionStrategy
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