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Criterion
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 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.
Complexitysame
LowLowLow
Timedifferent
45–90 min1-2 h30–60 min
Participantsdifferent
3-102-84-8
Formatdifferent
WorkshopWorkshop + asyncWorkshop
Outputdifferent
Theme clusters, Insight statements, Opportunity areasDIBB document, Belief list, Bet list, Learning reportEmpathy Map, Assumptions List, Research Gaps
Tagsno overlap
SynthesisQualitativeRoot cause
StrategyDecisionAssumptionsHypothesis
SynthesisQualitativeWorkshop
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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
Paper illustration of the Lightning Decision Jam working structure.
Facilitation
Decision Jam
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of the Force Field Analysis working structure.
Decision Making
Force Field Analysis