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Criterion
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Affinity Diagramming
UX Research
Affinity Diagramming
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Empathy Mapping
UX Research
Empathy Mapping
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 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.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 a lot is assumed about a target group but little is seen jointly, empathy mapping makes knowledge and gaps directly comparable. The picture also shows which assumptions hold up and where evidence is missing.
Complexitydifferent
HighLowLowLow
Timedifferent
1-4 Wochen45–90 min1-2 h30–60 min
Participantsdifferent
6-30 Experten3-102-84-8
Formatdifferent
AsyncWorkshopWorkshop + asyncWorkshop
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesTheme clusters, Insight statements, Opportunity areasDIBB document, Belief list, Bet list, Learning reportEmpathy Map, Assumptions List, Research Gaps
Tagsno overlap
ForecastingExpertsDecisionStrategy
SynthesisQualitativeRoot cause
StrategyDecisionAssumptionsHypothesis
SynthesisQualitativeWorkshop
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