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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
Design Thinking as a learning loop: an observation notebook, a focused problem statement, different idea sketches, a cardboard prototype and user-test notes. Feedback leads to new understanding.
Innovation
Design Thinking
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 complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service.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 Wochen1 Tag bis mehrere Wochen45-60 min
Participantsdifferent
4-121-64-102-8
Formatdifferent
Workshop + asyncAsyncWorkshopWorkshop + async
Outputdifferent
Logic Model, Change Objectives, Intervention Components, Evaluation PlanExperiment results, Decision log, Learning summaryProblem Statement, Prototype, Test LearningsAssumption map, Test backlog, Risk ranking
Tagsno overlap
ChangeSystems thinkingCapability
ExperimentsGrowthAnalyticsValidation
InnovationPrototypeResearch
AssumptionsRiskExperimentsValidation
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