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Criterion
Paper illustration for Intervention Mapping.
Systems Thinking
Intervention Mapping
Paper illustration for Future Reality Tree.
Systems Thinking
Future Reality Tree
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
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 Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.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.
Complexitydifferent
HighHighMediumHigh
Timedifferent
1-5 Tage2-4 h45-60 min1-4 Wochen
Participantsdifferent
4-123-82-81-6
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncAsync
Outputdifferent
Logic Model, Change Objectives, Intervention Components, Evaluation PlanFuture Reality Tree, Negative Branches, Assumption List, Improved InjectionsAssumption map, Test backlog, Risk rankingExperiment results, Decision log, Learning summary
Tagsno overlap
ChangeSystems thinkingCapability
Theory of ConstraintsSystems thinkingChange
AssumptionsRiskExperimentsValidation
ExperimentsGrowthAnalyticsValidation
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