Your question is Correlation Versus Causation in Analytics. 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 product usage data and notice that customers who use more features also tend to renew at higher rates. A stakeholder wants to treat that relationship as proof that feature usage drives renewal.
How would you explain the difference between correlation and causation in a business context?