Diagnosing and resolving intermittent crashes can be quite challenging, but a systematic approach can effectively identify and fix the issue. 

To start, I would collect logs from the application. If the crash occurs on a customer’s device, I would use third-party monitoring tools like New Relic or Firebase Crashlytics to gather detailed crash reports. These tools provide valuable insights into the crash, including the stack trace, the exact time of the incident, and the device state.

Next, I would analyze the logs to identify patterns or specific keywords such as "fatal exception" or "crash." This analysis helps pinpoint the exact location in the code where the crash occurred. I would look for commonalities in the crashes to determine if there are specific conditions or actions that trigger the issue.

Once I have identified the potential cause, I would replicate the issue in a controlled environment to gain a better understanding. This involves creating test cases that mimic the conditions under which the crash occurs.

After determining the root cause, I would implement a fix and thoroughly test it to ensure the issue is resolved. This process might involve code refactoring, improving error handling, or optimizing resource usage.

Finally, I would deploy the fix and closely monitor the application to ensure that the crash no longer occurs. Continuous monitoring allows for the early detection of any residual issues, helping to maintain the application's stability.

By following this structured approach, I can effectively diagnose and resolve intermittent crashes, ensuring a smooth and reliable user experience.