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| Criterion | ![]() Systems Thinking Intervention Mapping | ![]() Systems Thinking Futures Wheel | ![]() Growth A/B Testing | ![]() Product Discovery Experiment Canvas |
|---|---|---|---|---|
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 experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | High | Medium | High | Low |
Timedifferent | 1-5 Tage | 60-120 min | 1-4 Wochen | 30-60 min |
Participantsdifferent | 4-12 | 3-10 | 1-6 | 1-5 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Logic Model, Change Objectives, Intervention Components, Evaluation Plan | Futures Wheel, Consequence Chains, Strategic Signals | Experiment results, Decision log, Learning summary | Completed Experiment Canvas, Success Metric |
Tagsno overlap | ChangeSystems thinkingCapability | ForesightSystems thinkingSignals | ExperimentsGrowthAnalyticsValidation | ExperimentsValidationDiscoveryHypothesis |



