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Criterion
Affinity Diagramming
UX Research
Affinity Diagramming
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration for Kepner-Tregoe
Operations
Kepner-Tregoe
Purposedifferent
When research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer.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.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.For a disturbance that's hard to pin down, the method cleanly separates problem, cause, and decision. It reduces mixing when symptoms allow several interpretations.
Complexitydifferent
LowHighLowHigh
Timedifferent
45–90 min1-4 Wochen1-2 h2-8 h
Participantsdifferent
3-106-30 Experten2-82-8
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Theme clusters, Insight statements, Opportunity areasExpert Forecast, Consensus Range, Assumption NotesDIBB document, Belief list, Bet list, Learning reportProblem Analysis, Decision Analysis, Risk Plan
Tagsno overlap
SynthesisQualitativeRoot cause
ForecastingExpertsDecisionStrategy
StrategyDecisionAssumptionsHypothesis
Problem solvingRoot causeDecisionOperations
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