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| Criterion |  Architecture Risk Storming |  Product Discovery Assumption Mapping |  Systems Thinking Causal Loop Diagram |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | Helps clarify architecture context, options, and consequences in concrete terms. It organizes technical context, alternatives, and consequences. The result is captured as an Annotated Diagram, a Prioritized Risk List, and an Action Backlog. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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 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 | Low | Medium | Medium | High |
Timedifferent | 60-90 min | 45-60 min | 1-3 h | 1-4 Wochen |
Participantsdifferent | 4-12 | 2-8 | 2-8 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Workshop | Async |
Outputdifferent | Annotated Diagram, Prioritized Risk List, Action Backlog | Assumption map, Test backlog, Risk ranking | Causal Loop Diagram, Feedback Notes, Leverage Points | Experiment results, Decision log, Learning summary |
Tagsno overlap | RiskArchitectureWorkshopValidation | AssumptionsRiskExperimentsValidation | FeedbackSystems thinkingCausalityDynamics | ExperimentsGrowthAnalyticsValidation |