As a product manager, my favorite game is chess. If I were to create a new feature for this game, I would introduce an AI-powered analysis tool that would provide players with personalized feedback on their game. The tool would analyze the player's moves and suggest alternative moves, pointing out potential mistakes and missed opportunities. Before investing any engineering dollars into this feature, I would look at certain metrics to determine if it is worthwhile. First, I would conduct user research to understand if there is a demand for such a feature. I would also look at the engagement metrics of current chess players on the platform and see if they are actively seeking ways to improve their game. Secondly, I would analyze the cost of development and maintenance of the tool and compare it to the potential revenue it could generate. If the cost is too high in relation to the potential revenue, it may not be worth pursuing. Lastly, I would conduct a small trial of the tool with a sample group of users and track engagement metrics, such as usage frequency and user satisfaction. Based on the results of the trial, I would make a data-driven decision on whether to invest further in the development of this feature.