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In live-ops, an A/B TEST measures the impact of a change by which method?

ARunning the change only for the dev team for 2 weeks
BRandom user split A vs B; compare metrics over time
CSwitching the change on globally and watching trends
DPolling players for opinions on the design change
Answer & Solution
Correct answer: B. Random user split A vs B; compare metrics over time
Kohavi GDC + Microsoft Experimentation Platform: random allocation; identical population except the change; statistical test for lift. Causal claim possible.
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