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Criterion
Surveys method illustration showing its working structure
UX Research
Surveys
Paper illustration for Root Cause Tree Analysis
Operations
Root Cause Tree Analysis
Paper illustration for Causal Factor Analysis.
Operations
Causal Factor Analysis
A 5 Whys working surface connects an observable problem with evidenced causes, marked uncertainty and concrete countermeasures with ownership.
Operations
5 Whys
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 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.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 single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description.
Complexitydifferent
MediumMediumHighLow
Timedifferent
3-14 Tage1-3 h2-6 h15-30 min
Participantsdifferent
50+2-83-102-6
Formatdifferent
AsyncWorkshopWorkshop + asyncWorkshop
Outputdifferent
Survey Results, Charts, Segment InsightsCause Tree, Evidence Notes, CountermeasuresEvent Timeline, Causal Factor Chart, Cause List, Corrective ActionsRoot cause notes, Countermeasures
Tagsno overlap
QuantitativeResearchValidation
Root causeTreeIncidentQuality
CausalityIncidentRoot causeTimeline
Root causeIncidentLeanProblem solving
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