Root-Cause: Diagnose a Metric Drop

Summary

A hypothetical (or real, if you have access to data) scenario where a key metric dropped — showing your analytical process for isolating the actual cause, not just guessing.

• 1Construct a believable scenario: which metric dropped, by how much, over what period.
• 2List the possible causes (a shipped bug, a competitor move, seasonality, a segment shift) and how you'd rule each in or out.
• 3Present your diagnosis process, not just a conclusion — the reasoning is the point.