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| Criterion | ![]() Systems Thinking Intervention Mapping | ![]() Systems Thinking Futures Wheel | ![]() Growth A/B Testing | ![]() Product Discovery Fake Door 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. | The Futures Wheel helps explore the consequences of a decision, a trend, or a strategic move in a structured way. It makes visible which first, second, and third-order effects could arise from an event. | 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 is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. |
Complexitydifferent | High | Medium | High | Medium |
Timedifferent | 1-5 Tage | 60-120 min | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 4-12 | 3-10 | 1-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Async | Async |
Outputdifferent | Logic Model, Change Objectives, Intervention Components, Evaluation Plan | Futures Wheel, Consequence Chains, Strategic Signals | Experiment results, Decision log, Learning summary | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | ChangeSystems thinkingCapability | ForesightSystems thinkingSignals | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandDiscovery |



