This question evaluates a data scientist's ability to apply causal inference and experimental-design principles, interpret panel and time-series revenue data, and detect cannibalization effects across mutually exclusive creation sources in the Analytics & Experimentation domain.

Management observed strong revenue growth from one creation_source (a channel by which revenue‑generating units such as orders/ads/subscriptions are created). They want evidence on whether this growth is cannibalizing revenue from other sources versus reflecting net organic growth.
Assumptions (for clarity):
Design an analysis to determine whether next year’s revenue increase for a specific creation_source (call it Source A) is offset by declines in other sources. Your approach should aim for causal evidence rather than correlations.
Consider methods such as:
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