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Criterion
Paper illustration for Intervention Mapping.
Systems Thinking
Intervention Mapping
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
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
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.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.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.
Complexitydifferent
HighHighHighMedium
Timedifferent
1-5 Tage1-4 Wochen2-6 h45-60 min
Participantsdifferent
4-121-63-102-8
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Logic Model, Change Objectives, Intervention Components, Evaluation PlanExperiment results, Decision log, Learning summaryEvent Timeline, Causal Factor Chart, Cause List, Corrective ActionsAssumption map, Test backlog, Risk ranking
Tagsno overlap
ChangeSystems thinkingCapability
ExperimentsGrowthAnalyticsValidation
CausalityIncidentRoot causeTimeline
AssumptionsRiskExperimentsValidation
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