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Criterion
Affinity Diagramming
UX Research
Affinity Diagramming
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration of two user profile cards with a goal, behavior evidence, and an open research question.
UX Research
Personas
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 target groups stay too vague and teams talk about the same people differently, personas create a shared, solid picture of usage. Condensed profiles make needs, contexts, and differences tangible enough for decisions.
Complexitydifferent
LowLowMedium
Timedifferent
45–90 min1-2 h1-3 Tage
Participantsdifferent
3-102-8Internes Team
Formatdifferent
WorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Theme clusters, Insight statements, Opportunity areasDIBB document, Belief list, Bet list, Learning reportPersona Profiles, Needs Summary, Scenario Notes
Tagsno overlap
SynthesisQualitativeRoot cause
StrategyDecisionAssumptionsHypothesis
ResearchCustomerSynthesis
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Often compared together

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

Paper illustration of two people facing each other, speech bubbles and an open interview notebook.
UX Research
User Interviews
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Empathy Mapping
UX Research
Empathy Mapping