Start by acknowledging the PM's concern but emphasize that these metrics alone are insufficient to conclude a red flag. Lead with the cumulative revenue loss as the primary metric, but immediately caveat it with the need to validate data quality, define 'pirated-theme usage' precisely, and consider alternative explanations. Propose a structured follow-up analysis to isolate causality and estimate true impact before committing resources.
Pro tip: Demonstrate maturity by proactively suggesting a data quality audit and a holdout or control group analysis—this shows you think like a scientist, not just a reporter of numbers.
Ensure 'pirated-theme usage' is clearly defined (e.g., what constitutes a pirated theme, how usage is tracked) and audit the data pipeline for errors, missing data, or changes in tracking that could explain the trend.
Present cumulative estimated revenue loss as the headline metric because it directly ties to business impact, but immediately note that it's an estimate based on assumptions that need validation.
Consider factors like seasonality, marketing campaigns, platform changes, or increased detection efforts that could cause the observed trends without a true increase in piracy.
Suggest analyses such as cohort analysis, A/B testing (if feasible), or comparing against a control group to determine if pirated usage is truly driving revenue loss.
Advise the PM to hold off on major resource commitments until the follow-up analyses are complete, and propose a phased approach to investigate further with clear milestones.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.