As asked
An analysis shows that customers who use a particular feature spend more. A stakeholder wants to push everyone onto that feature. How do you respond?
Sample answer outline
Caution that the feature users may already be higher spenders, so the relationship could be selection rather than cause. Suggest controlling for obvious confounders, comparing similar segments, or ideally running a controlled test where some comparable customers are nudged to the feature and some are not. A strong answer explains the business risk of acting on a spurious correlation and offers a pragmatic way to get closer to causal evidence without overclaiming.
Expect these follow-ups
- What confounders would you check first in this example?
- How would you design a simple test to get closer to causation?
- How do you communicate this caveat without sounding obstructive?
statisticscausationconfoundingexperimentation