Root-Causing an Instagram Satisfaction Decline During Ad Monetization Growth

You are a product manager at Meta working on Instagram. Instagram's advertising revenue has gone up, but over the same stretch its user satisfaction has gone down. Explain how you would work out what is happening and what you would do about it. ```hint Ask what users actually noticed Before linking the two trends, ask whether users would directly feel whatever drove the revenue gain, and what you would expect to see in the data if they did. ``` ### Clarifying Questions - How is user satisfaction measured here (an in-app survey, a sentiment score, app-store ratings), and has the survey's wording, placement or sample changed recently? - Did the two metrics drift over months, or did they shift around a specific date, such as an ads or feed-ranking launch? - Is the satisfaction decline concentrated on one surface (Feed, Stories, Reels, Explore), one region or one user group, or is it broad? - Have behavioral metrics such as daily actives, sessions or time spent moved as well, or only the satisfaction score? ### What a Strong Answer Covers - Validating both metrics before treating the pattern as real, including measurement changes, seasonality and shifts in advertiser demand - Decomposing the revenue gain into ad volume and ad price, and the satisfaction drop by surface, segment and complaint theme, to test whether ads are involved at all - A ranked set of hypotheses, ads-related and not, each paired with the data or experiment that would confirm or rule it out - A decision rule that weighs short-term revenue against long-term engagement and retention using experimental evidence rather than intuition - Remedies matched to each possible root cause, with guardrail metrics and a plan for advertisers ### Follow-up Questions - If a long-running holdout shows that the extra ads lower time spent slightly while raising revenue, how would you decide whether to keep them? - Suppose the decline turns out to be concentrated among teenagers and unrelated to ads. How does your plan change, and who else do you bring in? - How would you set ad load per user without simply showing more ads to the people least likely to complain?