Question: How can I measure and improve my engineering team's performance, and what metrics should I be tracking?

For gauging and improving your engineering team's performance, DevDynamics is a good option. The service offers real-time metrics and AI analysis to help teams make decisions and optimize engineering capacity. It tracks a range of metrics, including mean time to recovery, deployment frequency, change failure rate and lead time for change. DevDynamics integrates with GitHub, Jira, GitLab, Slack and Linear, among other tools, and offers a 21-day free trial.

Another option is Code Climate. It offers a Software Engineering Intelligence platform that includes DORA Metrics for measuring DevOps practices and Team360 for improving team health. Code Climate also offers Velocity for performance insights and Expert Guidance for personalized action plans. The service is designed to help teams make data-driven decisions, get visibility and maintain a healthy team culture, so it's good for engineering executives, managers, developers and product leaders.

LinearB is another service that can help you optimize team performance and ensure software projects are delivered on time. It offers insights and automation tools to control costs and resource usage. Among other things, it offers developer productivity metrics, profitable engineering, predictable software delivery and GenAI code orchestration. The service is designed to fit into existing processes and tools, so leaders can make data-driven decisions and optimize team performance.

For a more data-driven approach to continuous feedback and goal management, check out Snapshot Reviews. The service offers daily standups, AI-driven data analysis, sprint retrospectives and SMART goal setting. Snapshot Reviews integrates with Jira and GitHub to automate development workflows, helping teams become more productive with feedback that's actionable and easy to understand.