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Criterion
Paper illustration of two people facing each other, speech bubbles and an open interview notebook.
UX Research
User Interviews
Causal Loop Diagram workspace showing the question, observations, and next decision.
Systems Thinking
Causal Loop Diagram
Affinity Diagramming
UX Research
Affinity Diagramming
Paper illustration for Current Reality Tree
Systems Thinking
Current Reality Tree
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.A Causal Loop Diagram makes feedback, reinforcement, and balance in a system legible. It uncovers side effects and self-reinforcement that stay hidden in linear explanations.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.A Current Reality Tree condenses many symptoms into a few causal chains. The method makes visible which core problems drive several negative effects at once.
Complexitydifferent
LowMediumLowHigh
Timedifferent
30–60 min per interview1-3 h45–90 min2-6 h
Participantsdifferent
1 participant per interview2-83-103-8
Formatdifferent
Workshop + asyncWorkshopWorkshopWorkshop
Outputdifferent
Interview Notes, Themes, Insight SummaryCausal Loop Diagram, Feedback Notes, Leverage PointsTheme clusters, Insight statements, Opportunity areasCurrent Reality Tree, Core Problems, Intervention Ideas
Tagsno overlap
QualitativeResearchCustomerDiscovery
FeedbackSystems thinkingCausalityDynamics
SynthesisQualitativeRoot cause
Systems thinkingRoot causeConstraintsCausality
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