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Selected:Causal Loop DiagramARID (Active Reviews for Intermediate Designs)Assumption MappingA/B Testing
| Criterion |  Systems Thinking Causal Loop Diagram |  Architecture ARID (Active Reviews for Intermediate Designs) |  Product Discovery Assumption Mapping |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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. | ARID examines how well developers can work with a technical design. It focuses on a part of the system that can still be revised, between the architecture overview and the detailed specification. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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 | Medium | Medium | Medium | High |
Timedifferent | 1-3 h | 2–4 h review as a planning range; preparation and evaluation additional | 45-60 min | 1-4 Wochen |
Participantsdifferent | 2-8 | Designers, developers as users, and facilitation | 2-8 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Async |
Outputdifferent | Causal Loop Diagram, Feedback Notes, Leverage Points | Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions | Assumption map, Test backlog, Risk ranking | Experiment results, Decision log, Learning summary |
Tagsno overlap | FeedbackSystems thinkingCausalityDynamics | ArchitectureEngineeringFeedbackValidationTasks | AssumptionsRiskExperimentsValidation | ExperimentsGrowthAnalyticsValidation |