The TARS framework is a method for measuring the impact of new features in user experience design. It focuses on four key metrics: target audience percentage, adoption rate, retention rate, and satisfaction score. First, you assess what percentage of users face the problem a feature addresses. This helps distinguish between actual feature usage and the broader audience that could benefit from it. For instance, an export feature may only be used by 5% of users, but the target audience could be much larger if more users struggle to find it. Next, the framework evaluates adoption by tracking how many users engage with the feature over time, looking for meaningful interactions rather than just click-through rates. High adoption suggests the feature addresses a significant need, while low adoption could indicate either a lack of interest or visibility issues in the user interface. Retention rates follow, measuring how often users return to the feature, with a retention rate of over 50% indicating strong strategic importance. Finally, the satisfaction score gauges how users feel about the feature after multiple uses, allowing for deeper insights into its effectiveness. TARS encourages teams to map these metrics on a 2×2 matrix, identifying overperforming features and those needing improvement. It avoids using conversion rate as a metric, as conversion success can stem from various factors, making it hard to tie directly to UX initiatives. Good UX should enhance task completion and user satisfaction, rather than merely driving conversion numbers. The article emphasizes the need for specific UX metrics to truly understand user experience and improve product effectiveness.