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Criterion
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
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
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 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
HighMediumLow
Timedifferent
1-4 Wochen1-2 Tage1-2 h
Participantsdifferent
6-30 ExpertenBased on research question2-8
Formatdifferent
AsyncAsyncWorkshop + async
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesFindability Metrics, Path Analysis, Revised IADIBB document, Belief list, Bet list, Learning report
Tagsno overlap
ForecastingExpertsDecisionStrategy
Information architectureNavigationFindability
StrategyDecisionAssumptionsHypothesis
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Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
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 the Force Field Analysis working structure.
Decision Making
Force Field Analysis