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| Criterion |  Systems Thinking Intervention Mapping |  Innovation Design Thinking |  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. | 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 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 | 1 Tag bis mehrere Wochen | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 4-12 | 4-10 | Nutzertraffic | 1-6 |
Formatdifferent | Workshop + async | Workshop | Async | Async |
Outputdifferent | Logic Model, Change Objectives, Intervention Components, Evaluation Plan | Problem Statement, Prototype, Test Learnings | Interest Metrics, Conversion Signal, Learning Note | Experiment results, Decision log, Learning summary |
Tagsno overlap | ChangeSystems thinkingCapability | InnovationPrototypeResearch | ValidationExperimentsDemandGrowth | ExperimentsGrowthAnalyticsValidation |