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Criterion
Paper illustration for Causal Factor Analysis.
Operations
Causal Factor Analysis
Surveys method illustration showing its working structure
UX Research
Surveys
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
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 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.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
HighMediumHighMedium
Timedifferent
2-6 h3-14 Tage2-6 h1-3 h
Participantsdifferent
3-1050+3-82-8
Formatdifferent
Workshop + asyncAsyncWorkshopWorkshop
Outputdifferent
Event Timeline, Causal Factor Chart, Cause List, Corrective ActionsSurvey Results, Charts, Segment InsightsCurrent Reality Tree, Core Problems, Intervention IdeasCausal Loop Diagram, Feedback Notes, Leverage Points
Tagsno overlap
CausalityIncidentRoot causeTimeline
QuantitativeResearchValidation
Systems thinkingRoot causeConstraintsCausality
FeedbackSystems thinkingCausalityDynamics
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