Your question is Correlation Versus Causation in Drop Off. 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 analyzing where users drop off in a product funnel, and you notice some steps are strongly associated with churn or abandonment. You need to decide whether those patterns reflect true causes of drop off or just correlated signals.
How do you distinguish between correlation and causation when analyzing user drop-off points on a platform?