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| Criterion |  Growth A/B Testing |  Domain Modeling Context Map |  Product Strategy Counter Metrics |
|---|---|---|---|
Purposedifferent | 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. | When several contexts need to talk to each other, it makes their relationships and dependencies legible. It helps sort integration pressure and responsibilities across system boundaries. | When a headline metric could mask side effects, it adds guardrail signals against unwanted outcomes. It connects customer value, product logic, and decision priorities. The result is captured as a counter-metric list and guardrail definitions. |
Complexitydifferent | High | Medium | Low |
Timedifferent | 1-4 Wochen | 1-3 h | 30-60 min |
Participantsdifferent | 1-6 | 2-8 | 2-6 |
Formatdifferent | Async | Workshop + async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Context Map, Integration Patterns, Boundary Notes | Counter Metric List, Guardrail Definitions |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | Domain-Driven DesignBoundariesStrategy | MetricsMeasurementStrategyExperiments |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
