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Criterion
Paper illustration of two user profile cards with a goal, behavior evidence, and an open research question.
UX Research
Personas
Paper illustration of two people facing each other, speech bubbles and an open interview notebook.
UX Research
User Interviews
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Affinity Diagramming
UX Research
Affinity Diagramming
Purposedifferent
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 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.For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.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.
Complexitydifferent
MediumLowMediumLow
Timedifferent
1-3 Tage30–60 min per interview30-90 min45–90 min
Participantsdifferent
Internes Team1 participant per interview1-63-10
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Persona Profiles, Needs Summary, Scenario NotesInterview Notes, Themes, Insight SummaryDecision Tree, Option Map, Assumption ListTheme clusters, Insight statements, Opportunity areas
Tagsno overlap
ResearchCustomerSynthesis
QualitativeResearchCustomerDiscovery
DecisionTreeOptions
SynthesisQualitativeRoot cause
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