This question evaluates a data scientist's competency in product analytics, experimentation design, causal inference, metric selection, hypothesis framing across the AARRR funnel, and quantitative impact sizing within the Analytics & Experimentation domain.

A consumer app has either launched a new feature or observed a sudden change in a key metric. You are asked to investigate and drive a decision.
Hint: Think top-down: frame problem → pick metrics → state hypothesis → design experiment or analysis → weigh trade-offs.
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