Measuring Engineering Productivity: Metrics That Matter

Many teams struggle to use developer productivity data effectively because they don’t know how to use it to decide what to do next. We know that data is here to help us improve, but how do you know where to look? And even then, what do you actually do to put the wheels of change in motion? Listen to this conversation with  Abi Noda and Laura Tacho (CEO and CTO at DX) about data-driven management and how to take a structured, analytical approach to using data for improvement.

Mentions and Links:

• Measuring developer productivity with the DX Core 4
• Laura’s developer productivity metrics course

Discussion points:

• (0:00) Intro
• (2:07) The challenge we’re seeing
• (6:53) Overview on using data
• (8:58) Use cases for data-engineering organizations
• (15:57) Use cases for data - engineering systems teams
• (21:38) Two types of metrics - Diagnostics and Improvement
• (38:09) Summary