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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 Dot Estimation.
Facilitation
Dot Estimation
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.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 size or effort can only be estimated roughly, Dot Estimation condenses the group's experience into a quick range. It turns individual contributions into a visible selection. The result is captured as an Effort Heatmap, Risk Signals, and Discussion Targets.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
HighHighLowLow
Timedifferent
1-5 Tage1-4 Wochen5-20 min1-5 Tage
Participantsdifferent
4-121-63-20Nutzertraffic
Formatdifferent
Workshop + asyncAsyncWorkshopAsync
Outputdifferent
Logic Model, Change Objectives, Intervention Components, Evaluation PlanExperiment results, Decision log, Learning summaryEffort Heatmap, Risk Signals, Discussion TargetsInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
ChangeSystems thinkingCapability
ExperimentsGrowthAnalyticsValidation
EstimationEffortRisk
ValidationExperimentsDemandGrowth
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