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| Criterion | ![]() Systems Thinking Intervention Mapping | ![]() Business Strategy Value Chain Analysis | ![]() Product Discovery Smoke Test | ![]() 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. | Value Chain Analysis shows where value is created, costs accrue, and differentiation becomes possible along the process. It compares strengths, risks, market logic, and courses of action. The result is captured as a value-chain map and lever list. | 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 | High | High | Low | High |
Timedifferent | 1-5 Tage | Half day | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 4-12 | 3-8 | Nutzertraffic | 1-6 |
Formatdifferent | Workshop + async | Workshop | Async | Async |
Outputdifferent | Logic Model, Change Objectives, Intervention Components, Evaluation Plan | Value Chain Map, Lever List | Interest Metrics, Conversion Signal, Learning Note | Experiment results, Decision log, Learning summary |
Tagsno overlap | ChangeSystems thinkingCapability | StrategyBusiness modelDiagnosisAnalysis | ValidationExperimentsDemandGrowth | ExperimentsGrowthAnalyticsValidation |



