How do you measure the organizational efficiency of your software engineering team? Do you have a process or tools that you rely on?

I use the DORA Core Model. See dora.dev => research.

For Performance measurement I use: 
- Change lead time
- Deployment Frequency 
- Change failure rate 
- Time to restore service

And the capabilities that cause these performance changes are shown see dora.dev => research.

Hello, not at work so far but for 2024 a DevOps will be live to keep tracking of the the software and processes lifetimes. It includes also evaluation metrics of the performances.

I use linearb.io. I strongly recommend it, it helps to acknowledge the efficiency and performance of the team.

Not something we explicitly measure, I always rely on outcomes.

First and foremost, we set clear goals for the team. Without goals, it’s hard to evaluate anything. Transparency is crucial — we need to know where we’re heading with the product. Metrics are important, but they’re secondary to the outcome or actual efficiency we’re aiming for.

Metrics are like signals pointing out potential issues. For instance, in a Sprint, if we committed to a certain amount of work but didn’t get it done, we find out why during a retro and fix the problem. If heading in the right direction, it signals issues within the team.

We use a tool called Jellyfish to measure and track these metrics. It not only helps us with the numbers but also shows if our team’s efforts align with our priorities. If we set priorities for X, Y and Z, but the team is focusing on A, B and C, Jellyfish brings that to light. It’s about keeping it simple and making sure our actions align with our goals.