Yoda Response: Certainly. If a solution did not perform as expected in production, I would follow a systematic approach to diagnose and resolve the issue. Here's how I would proceed:

1. **Gather Information**: First, I would gather as much information as possible about the issue. This includes understanding the specific conditions under which the problem occurs, the devices affected, and any error messages or logs provided by users.

2. **Crash Analytics**: I would check crash analytics tools like Google Play Console to view crash reports and stack traces. This 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.

3. **User Flow Analysis**: Using integrated analytics tools like Amplitude, I would analyze user flows to understand the sequence of actions leading up to the issue. This helps in replicating the problem in a controlled environment.

4. **API Monitoring**: 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.

5. **Replication and Debugging**: With the gathered data, I would attempt to replicate the issue in a development or staging environment. This step is crucial for understanding the root cause and testing potential fixes.

6. **Implement and Test 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.

7. **Deploy and Monitor**: 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.