Measuring What Matters: Unlocking Engineering Productivity with AI and Metrics
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Gary shares his experience in balancing team motivation and productivity at Trainline, focusing on customer lifetime value and efficient software delivery. He highlights the complexity of tracking engineering productivity, especially in today’s distributed, remote-first work environments, where effective measurement can no longer rely on simple observation.
Viktor expands on this by emphasizing the importance of optimizing engineering practices and using strategic assessments to overcome client-supplier challenges. His focus is on creating alignment between technology and business goals, ensuring that teams are empowered to deliver not just products, but value.
Throughout the conversation, the guests dive into key topics such as:
- Choosing the right metrics for engineering productivity
- The dangers of gaming metrics and how to avoid it
- Balancing process efficiency with developer happiness and creativity
- Using AI tools like Copilot to improve productivity without compromising quality
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