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Criterion
Paper illustration for Intervention Mapping.
Systems Thinking
Intervention Mapping
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
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
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 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 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.When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.
Complexitydifferent
HighHighHighLow
Timedifferent
1-5 Tage1 Tag bis mehrere Wochen1-4 Wochen1-5 Tage
Participantsdifferent
4-124-101-6Nutzertraffic
Formatdifferent
Workshop + asyncWorkshopAsyncAsync
Outputdifferent
Logic Model, Change Objectives, Intervention Components, Evaluation PlanProblem Statement, Prototype, Test LearningsExperiment results, Decision log, Learning summaryInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
ChangeSystems thinkingCapability
InnovationPrototypeResearch
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandGrowth
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