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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
Design Thinking as a learning loop: an observation notebook, a focused problem statement, different idea sketches, a cardboard prototype and user-test notes. Feedback leads to new understanding.
Innovation
Design Thinking
Paper illustration of Barrier Analysis with its method-specific working model.
Operations
Barrier 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.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 complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service.For a risk that can only be managed through multiple layers of protection, the method examines the effectiveness of each barrier. It shows where safeguards are missing, too weak, or fail under real conditions.
Complexitydifferent
MediumHighHighMedium
Timedifferent
3-14 Tage2-6 h1 Tag bis mehrere Wochen2-4 h
Participantsdifferent
50+3-104-102-6
Formatdifferent
AsyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Survey Results, Charts, Segment InsightsEvent Timeline, Causal Factor Chart, Cause List, Corrective ActionsProblem Statement, Prototype, Test LearningsBarrier Inventory, Failure Analysis per Barrier, Action Backlog
Tagsno overlap
QuantitativeResearchValidation
CausalityIncidentRoot causeTimeline
InnovationPrototypeResearch
Root causeSafetyIncident
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