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| Criterion |  Systems Thinking Polarity Mapping |  Growth A/B Testing |  Systems Thinking Causal Loop Diagram |  Product Discovery Assumption Mapping |
|---|---|---|---|---|
Purposedifferent | Polarity Mapping makes tensions between two opposing poles tangible, such as standardization and adaptation or control and autonomy. The method guards against making apparent either-or decisions prematurely. | 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 Causal Loop Diagram makes feedback, reinforcement, and balance in a system legible. It uncovers side effects and self-reinforcement that stay hidden in linear explanations. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitydifferent | Medium | High | Medium | Medium |
Timedifferent | 1-2 h | 1-4 Wochen | 1-3 h | 45-60 min |
Participantsdifferent | 3-12 | 1-6 | 2-8 | 2-8 |
Formatdifferent | Workshop | Async | Workshop | Workshop + async |
Outputdifferent | Polarity Map, Warning Signs, Balance Actions | Experiment results, Decision log, Learning summary | Causal Loop Diagram, Feedback Notes, Leverage Points | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | Systems thinkingTradeoffsLeadership | ExperimentsGrowthAnalyticsValidation | FeedbackSystems thinkingCausalityDynamics | AssumptionsRiskExperimentsValidation |