Rethinking productivity measurement in the age of AI – SiliconANGLE
Executives are laser-focused on how generative artificial intelligence can have an impact on employee output. As the chief strategy officer for a DevSecOps software company, GitLab, I spend a lot of time speaking with customers about AI’s impact on software development.
Organizations have largely moved past the fear associated with AI and are now looking to make AI scalable and sustainable. However, many executives need help quantifying AI’s impact on productivity. In a recent GitLab survey, over half (57%) of executives said measuring developer productivity is key to business growth, and 51% feel their methods for measuring developer productivity are flawed — or they want to measure it but aren’t sure how.