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Criterion
Surveys method illustration showing its working structure
UX Research
Surveys
Paper illustration for Root Cause Analysis.
Operations
Root Cause Analysis
Paper illustration for Causal Factor Analysis.
Operations
Causal Factor Analysis
Paper illustration for Root Cause Tree Analysis
Operations
Root Cause Tree Analysis
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.When a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another.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.For a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie.
Complexitydifferent
MediumMediumHighMedium
Timedifferent
3-14 Tage1-4 h2-6 h1-3 h
Participantsdifferent
50+3-83-102-8
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Survey Results, Charts, Segment InsightsProblem Statement, Cause Hypotheses, Confirmed Causes, Action PlanEvent Timeline, Causal Factor Chart, Cause List, Corrective ActionsCause Tree, Evidence Notes, Countermeasures
Tagsno overlap
QuantitativeResearchValidation
Root causeProblem solvingQualityIncident
CausalityIncidentRoot causeTimeline
Root causeTreeIncidentQuality
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