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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
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
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.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
LowLowMediumHigh
Timedifferent
45–90 min1-2 h1-3 Tage1-4 Wochen
Participantsdifferent
3-102-8Internes Team6-30 Experten
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Theme clusters, Insight statements, Opportunity areasDIBB document, Belief list, Bet list, Learning reportPersona Profiles, Needs Summary, Scenario NotesExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
SynthesisQualitativeRoot cause
StrategyDecisionAssumptionsHypothesis
ResearchCustomerSynthesis
ForecastingExpertsDecisionStrategy
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