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Criterion
Paper illustration for Causal Factor Analysis.
Operations
Causal Factor Analysis
Paper illustration of two people facing each other, speech bubbles and an open interview notebook.
UX Research
User Interviews
Paper illustration of two user profile cards with a goal, behavior evidence, and an open research question.
UX Research
Personas
Affinity Diagramming
UX Research
Affinity Diagramming
Purposedifferent
For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events.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 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 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
HighLowMediumLow
Timedifferent
2-6 h30–60 min per interview1-3 Tage45–90 min
Participantsdifferent
3-101 participant per interviewInternes Team3-10
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Event Timeline, Causal Factor Chart, Cause List, Corrective ActionsInterview Notes, Themes, Insight SummaryPersona Profiles, Needs Summary, Scenario NotesTheme clusters, Insight statements, Opportunity areas
Tagsno overlap
CausalityIncidentRoot causeTimeline
QualitativeResearchCustomerDiscovery
ResearchCustomerSynthesis
SynthesisQualitativeRoot cause
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