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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
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
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.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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.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
HighLowLowHigh
Timedifferent
1-5 Tage20–45 min1-5 Tage1-4 Wochen
Participantsdifferent
4-12Small cross-functional groupNutzertraffic1-6
Formatdifferent
Workshop + asyncWorkshopAsyncAsync
Outputdifferent
Logic Model, Change Objectives, Intervention Components, Evaluation PlanRisk list, Mitigation plan, Assumption logInterest Metrics, Conversion Signal, Learning NoteExperiment results, Decision log, Learning summary
Tagsno overlap
ChangeSystems thinkingCapability
RiskDecisionFailurePlanning
ValidationExperimentsDemandGrowth
ExperimentsGrowthAnalyticsValidation
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