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Criterion
Paper illustration of two people facing each other, speech bubbles and an open interview notebook.
UX Research
User Interviews
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 teams derive needs only from assumptions and real motives are missing, user interviews give direct access to behavior and meaning. Conversations from the target group's everyday life make patterns, tensions, and open questions solidly visible.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
LowLowLowMedium
Timedifferent
30–60 min per interview45–90 min1-2 h1-3 Tage
Participantsdifferent
1 participant per interview3-102-8Internes Team
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Interview Notes, Themes, Insight SummaryTheme clusters, Insight statements, Opportunity areasDIBB document, Belief list, Bet list, Learning reportPersona Profiles, Needs Summary, Scenario Notes
Tagsno overlap
QualitativeResearchCustomerDiscovery
SynthesisQualitativeRoot cause
StrategyDecisionAssumptionsHypothesis
ResearchCustomerSynthesis
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