Software engineers often view product analytics as an additional burden to their already packed schedules, but integrating it into development can enhance product outcomes. To facilitate this buy-in, product teams should prioritize analytics in sprint plans, allowing sufficient time for accurate implementation without overwhelming engineers. Establishing a strong analytics foundation in the codebase can prevent clutter and inefficiencies, making future analytics integration seamless. It's crucial to track only meaningful analytics events to avoid unnecessary complexity and frustration among engineers. Transparency about the strategic importance of metrics can engage engineers, aligning their interests with the company's goals. Furthermore, granting engineers access to analytics dashboards can enable them to identify bugs and performance issues, using the data to advocate for technical improvements. By framing analytics as a tool that empowers engineers, companies can foster a collaborative environment that benefits both product and engineering teams.