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Criterion
Paper illustration for Intervention Mapping.
Systems Thinking
Intervention Mapping
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 for Current Reality Tree
Systems Thinking
Current Reality Tree
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.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.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.
Complexitysame
HighHighHighHigh
Timedifferent
1-5 Tage2-6 h1-4 Wochen2-6 h
Participantsdifferent
4-123-101-63-8
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop
Outputdifferent
Logic Model, Change Objectives, Intervention Components, Evaluation PlanEvent Timeline, Causal Factor Chart, Cause List, Corrective ActionsExperiment results, Decision log, Learning summaryCurrent Reality Tree, Core Problems, Intervention Ideas
Tagsno overlap
ChangeSystems thinkingCapability
CausalityIncidentRoot causeTimeline
ExperimentsGrowthAnalyticsValidation
Systems thinkingRoot causeConstraintsCausality
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