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Criterion
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Affinity Diagramming
UX Research
Affinity Diagramming
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
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 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
1-2 h45–90 min1-3 Tage1-4 Wochen
Participantsdifferent
2-83-10Internes Team6-30 Experten
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncAsync
Outputdifferent
DIBB document, Belief list, Bet list, Learning reportTheme clusters, Insight statements, Opportunity areasPersona Profiles, Needs Summary, Scenario NotesExpert Forecast, Consensus Range, Assumption Notes
Tagsno overlap
StrategyDecisionAssumptionsHypothesis
SynthesisQualitativeRoot cause
ResearchCustomerSynthesis
ForecastingExpertsDecisionStrategy
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