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Criterion
Paper illustration for Causal Factor Analysis.
Operations
Causal Factor Analysis
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of MORT Analysis with its method-specific working model.
Operations
MORT Analysis
Paper illustration of Barrier Analysis with its method-specific working model.
Operations
Barrier Analysis
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 two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects.For a safety-relevant event or a system with high protection requirements, the method examines where controls failed. It exposes both technical and organizational gaps.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
HighHighHighMedium
Timedifferent
2-6 h1-4 WochenMehrere Tage bis Wochen2-4 h
Participantsdifferent
3-101-62-62-6
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Event Timeline, Causal Factor Chart, Cause List, Corrective ActionsExperiment results, Decision log, Learning summaryMORT Worksheets, Findings per Branch, Corrective Actions, Systemic RecommendationsBarrier Inventory, Failure Analysis per Barrier, Action Backlog
Tagsno overlap
CausalityIncidentRoot causeTimeline
ExperimentsGrowthAnalyticsValidation
Root causeSafetySystemicIncident
Root causeSafetyIncident
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