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Criterion
Systems Mapping method illustration showing its working structure
Systems Thinking
Systems Mapping
Paper illustration for Current Reality Tree
Systems Thinking
Current Reality Tree
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Causal Factor Analysis.
Operations
Causal Factor Analysis
Purposedifferent
Systems Mapping arranges elements, relationships, and boundaries so a complex field becomes legible at a glance. The overview stabilizes the overall picture before detail work or steering begins.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.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 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.
Complexitydifferent
MediumHighHighHigh
Timedifferent
1-3 h2-6 h1-4 Wochen2-6 h
Participantsdifferent
3-123-81-63-10
Formatdifferent
Workshop + asyncWorkshopAsyncWorkshop + async
Outputdifferent
System Map, Dependencies, Leverage PointsCurrent Reality Tree, Core Problems, Intervention IdeasExperiment results, Decision log, Learning summaryEvent Timeline, Causal Factor Chart, Cause List, Corrective Actions
Tagsno overlap
Systems thinkingMappingBoundariesChange
Systems thinkingRoot causeConstraintsCausality
ExperimentsGrowthAnalyticsValidation
CausalityIncidentRoot causeTimeline
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