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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 for Change Analysis.
Operations
Change Analysis
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
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.For a deviation after a change, the method isolates the influence of the altered condition. It narrows down which differences are relevant and which are just accompanying noise.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
LowHighMediumLow
Timedifferent
45–90 min1-4 Wochen45-120 min1-2 h
Participantsdifferent
3-106-30 Experten2-62-8
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Theme clusters, Insight statements, Opportunity areasExpert Forecast, Consensus Range, Assumption NotesChange Matrix, Cause Hypotheses, Validation Questions, Action ListDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
SynthesisQualitativeRoot cause
ForecastingExpertsDecisionStrategy
ChangeRoot causeTroubleshootingComparison
StrategyDecisionAssumptionsHypothesis
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