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Criterion
Paper illustration for Intervention Mapping.
Systems Thinking
Intervention 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
Intervention Mapping translates a need for change into a planned, evaluable program. The method connects target group, determinants, actions, and measurement into a traceable chain.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.
Complexitysame
HighHighHighHigh
Timedifferent
1-5 Tage2-6 h1-4 Wochen2-6 h
Participantsdifferent
4-123-81-63-10
Formatdifferent
Workshop + asyncWorkshopAsyncWorkshop + async
Outputdifferent
Logic Model, Change Objectives, Intervention Components, Evaluation PlanCurrent Reality Tree, Core Problems, Intervention IdeasExperiment results, Decision log, Learning summaryEvent Timeline, Causal Factor Chart, Cause List, Corrective Actions
Tagsno overlap
ChangeSystems thinkingCapability
Systems thinkingRoot causeConstraintsCausality
ExperimentsGrowthAnalyticsValidation
CausalityIncidentRoot causeTimeline
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