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| Criterion |  Architecture C4 Model |  Facilitation Dot Estimation |  Product Discovery Assumption Mapping |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | The C4 Model makes a system legible across several resolution levels, from context down to code. It suits situations where different audiences need to understand the same architecture from different altitudes. | When size or effort can only be estimated roughly, Dot Estimation condenses the group's experience into a quick range. It turns individual contributions into a visible selection. The result is captured as an Effort Heatmap, Risk Signals, and Discussion Targets. | 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 | Low | Low | Medium | High |
Timedifferent | 1-4 h | 5-20 min | 45-60 min | 1-4 Wochen |
Participantsdifferent | 1-5 | 3-20 | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Async |
Outputdifferent | Context Diagram, Container Diagram, Component Diagram | Effort Heatmap, Risk Signals, Discussion Targets | Assumption map, Test backlog, Risk ranking | Experiment results, Decision log, Learning summary |
Tagsno overlap | ArchitectureCommunicationVisualization | EstimationEffortRisk | AssumptionsRiskExperimentsValidation | ExperimentsGrowthAnalyticsValidation |