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Criterion
Surveys method illustration showing its working structure
UX Research
Surveys
Paper illustration for Causal Factor Analysis.
Operations
Causal Factor Analysis
Paper illustration for Current Reality Tree
Systems Thinking
Current Reality Tree
Causal Loop Diagram workspace showing the question, observations, and next decision.
Systems Thinking
Causal Loop Diagram
Purposedifferent
When a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal.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.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.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.
Complexitydifferent
MediumHighHighMedium
Timedifferent
3-14 Tage2-6 h2-6 h1-3 h
Participantsdifferent
50+3-103-82-8
Formatdifferent
AsyncWorkshop + asyncWorkshopWorkshop
Outputdifferent
Survey Results, Charts, Segment InsightsEvent Timeline, Causal Factor Chart, Cause List, Corrective ActionsCurrent Reality Tree, Core Problems, Intervention IdeasCausal Loop Diagram, Feedback Notes, Leverage Points
Tagsno overlap
QuantitativeResearchValidation
CausalityIncidentRoot causeTimeline
Systems thinkingRoot causeConstraintsCausality
FeedbackSystems thinkingCausalityDynamics
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