Measure Game Monetization and Validate a Reporting Repair

You are building reporting for a game's monetization product. Which metrics would you put in the report, and how would you determine whether a reported change reflects player behavior or a broken measurement path? Explain how you would validate a repair to that path. ### Requirements and Constraints The game monetization context and the need to verify whether something broken has been fixed are the scope of this exercise. No actual product, pricing, incident, or revenue target is specified. Choose a concrete monetization model for your answer, label it as an assumption, and define its events and denominators before proposing metrics. ### Clarifying Questions - Does the game monetize through purchases, advertising, subscriptions, or a combination? - Which report users need a decision: product managers evaluating conversion, operators monitoring failures, or finance reconciling revenue? - What is currently believed to be broken: customer behavior, purchase execution, event collection, or the report calculation? - Which independent records can establish whether a purchase or other monetization event actually occurred? ```hint A revenue number needs both meaning and evidence A rise in recorded revenue can come from more successful purchases or from duplicate records. Identify a source that can distinguish those explanations. ``` ### What a Strong Answer Covers - Metrics with explicit numerators, denominators, time windows, and treatment of refunds or reversals appropriate to the selected monetization model. - A funnel and useful breakdowns that locate where a monetization change occurs without hiding changes in the player mix. - Player-experience or retention measures that constrain revenue improvements with harmful side effects. - Reconciliation and data-quality checks that distinguish business changes from missing, duplicate, or delayed events. - A repair-validation plan using the original failing condition, independent evidence, regression cases, and live monitoring. - A clear distinction between fixing report correctness and proving that a product change improves monetization. ### Follow-up Questions 1. How could reported revenue increase while the number of actual successful purchases stays unchanged? 2. Which checks would reveal that a repair fixed current data but left historical reports incorrect? 3. How would you judge an increase in purchase conversion accompanied by worse player retention?