If a solution does not perform as expected in production, I would take a systematic approach to diagnose and resolve the issue. Here’s how I would proceed:

First, I would gather as much information as possible about the problem, including the specific conditions under which it occurs, the devices affected, and any error messages or logs provided by users. Next, I would check crash analytics tools like Google Play Console to view crash reports and stack traces, which would help identify the exact line of code or module causing the issue. Filtering by app version and device model can provide more targeted insights.

Using integrated analytics tools like Amplitude, I would analyze user flows to understand the sequence of actions leading up to the issue, which helps in replicating the problem in a controlled environment. For issues related to API calls, I would use monitoring tools like Dynatrace to track errors and performance metrics. By examining logs based on user IDs, I can pinpoint where the API calls are failing and why.

With the gathered data, I would attempt to replicate the issue in a development or staging environment, which is crucial for understanding the root cause and testing potential fixes. Once the root cause is identified, I would implement the necessary fixes and thoroughly test them in various scenarios to ensure the issue is resolved without introducing new problems.

After deploying the fix to production, I would closely monitor the app's performance and user feedback to ensure the issue is fully resolved and no new issues have arisen. By following this structured approach, I can effectively diagnose and resolve issues, ensuring a smooth and reliable user experience.