Your question is Correlation Versus Causation in Analysis. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
You are reviewing customer behavior data and notice that higher engagement with account features is associated with lower churn. A teammate wants to treat that relationship as proof that the feature caused retention to improve.
What’s the difference between correlation and causation in customer analysis?