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Criterion
Paper illustration for Intervention Mapping.
Systems Thinking
Intervention Mapping
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
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.In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures.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
HighLowHighLow
Timedifferent
1-5 Tage20–45 min1-4 Wochen1-5 Tage
Participantsdifferent
4-12Small cross-functional group1-6Nutzertraffic
Formatdifferent
Workshop + asyncWorkshopAsyncAsync
Outputdifferent
Logic Model, Change Objectives, Intervention Components, Evaluation PlanRisk list, Mitigation plan, Assumption logExperiment results, Decision log, Learning summaryInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
ChangeSystems thinkingCapability
RiskDecisionFailurePlanning
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandGrowth
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