Rajni, thanks for the insightful breakdown of key metrics for measuring engineering team success!

I’d love to dive deeper into one particular aspect you mentioned—Mean Time to Restore (MTTR) and its impact on customer satisfaction. In our experience, P0 customer issues are often the most critical, and they demand rapid resolution. Debugging these high-priority issues can consume a significant amount of time and resources, but it's crucial for maintaining customer trust and minimizing downtime.

I'm curious to hear from others in the community:

• How much time does your team typically spend on debugging P0 customer issues?
• What strategies or tools have you found effective in reducing MTTR without compromising on code quality?
• Have you integrated any AI-powered tools or automated insights into your debugging process? If so, how have they impacted your workflow?

Would love to hear your experiences and any tips you might have for improving this process!