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| Criterion |  Systems Thinking Intervention Mapping |  Growth A/B Testing |  Systems Thinking Future Reality Tree |  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. | 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. | A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation. | 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 | High | High | Low |
Timedifferent | 1-5 Tage | 1-4 Wochen | 2-4 h | 30-60 min |
Participantsdifferent | 4-12 | 1-6 | 3-8 | 1-5 |
Formatdifferent | Workshop + async | Async | Workshop | Workshop + async |
Outputdifferent | Logic Model, Change Objectives, Intervention Components, Evaluation Plan | Experiment results, Decision log, Learning summary | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Completed Experiment Canvas, Success Metric |
Tagsno overlap | ChangeSystems thinkingCapability | ExperimentsGrowthAnalyticsValidation | Theory of ConstraintsSystems thinkingChange | ExperimentsValidationDiscoveryHypothesis |