video1.0<iframe src="https://www.loom.com/embed/bd456fa6b3024e23b53915928f81eb27" frameborder="0" width="3840" height="2880" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>28803840Loomhttps://www.loom.com28803840https://cdn.loom.com/sessions/thumbnails/bd456fa6b3024e23b53915928f81eb27-b01a9fa447670eba.gif118.576792In this video, I discuss how our platform at DX measures developer experience and productivity through a combination of qualitative and quantitative metrics. We utilize engineering surveys and system metrics to identify bottlenecks and friction points that hinder developer productivity. Recently, we've introduced an AI measurement framework to correlate AI utilization with developer productivity metrics, allowing us to analyze the impact of AI on code quality and PR throughput. Additionally, our new service catalog and scorecard capabilities enable continuous improvement across various productivity metrics. I encourage engineering leaders to leverage this data to enhance developer experience and drive organizational productivity.