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Criterion
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Affinity Diagramming
UX Research
Affinity Diagramming
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Purposedifferent
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 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.
Complexitydifferent
LowLowHigh
Timedifferent
1-2 h45–90 min1-4 Wochen
Participantsdifferent
2-83-106-30 Experten
Formatdifferent
Workshop + asyncWorkshopAsync
Outputdifferent
DIBB document, Belief list, Bet list, Learning reportTheme clusters, Insight statements, Opportunity areasExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
StrategyDecisionAssumptionsHypothesis
SynthesisQualitativeRoot cause
ForecastingExpertsDecisionStrategy
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Often compared together

Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Empathy Mapping
UX Research
Empathy Mapping
Paper illustration of the Force Field Analysis working structure.
Decision Making
Force Field Analysis
Paper illustration for Kepner-Tregoe
Operations
Kepner-Tregoe