--- title: Uber’s journey of measuring AI impact on developer... description: Uber's engineering team shares how their approach to measuring AI's impact on developer productivity evolved through multiple phases: from adoption and... canonical: https://daily.dev/posts/uber-s-journey-of-measuring-ai-impact-on-developer-productivity-iflywwsas twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Uber’s journey of measuring AI impact on developer productivity | daily.dev og:description: Uber's engineering team shares how their approach to measuring AI's impact on developer productivity evolved through multiple phases: from adoption and... og:url: https://daily.dev/posts/uber-s-journey-of-measuring-ai-impact-on-developer-productivity-iflywwsas og:image: https://api.daily.dev/og/posts/IFlYwwsAs.png og:image:alt: Uber’s journey of measuring AI impact on developer productivity og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Uber’s journey of measuring AI impact on developer productivity **[Software Engineering Research](https://daily.dev/sources/abinoda)** · 5 min read · 1 upvotes · 0 comments ## Summary Uber's engineering team shares how their approach to measuring AI's impact on developer productivity evolved through multiple phases: from adoption and engagement tracking to ROI measurement and agentic workflows. Key lessons include why 'developer years saved' failed as an ROI metric, how behavioral signals outperform demographic segmentation, the importance of causal analysis over correlation, and why traditional activity-based metrics like PR counts break down with AI agents. Uber's emerging framework centers on feature velocity as a North Star metric, supplemented by flow efficiency, quality, and capability expansion to capture meaningful business outcomes rather than raw engineering output. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [5 pitfalls to avoid when measuring developer experience in the AI era](https://daily.dev/posts/5-pitfalls-to-avoid-when-measuring-developer-experience-in-the-ai-era-jpu9ct3gf) · Datadog · 0 upvotes · 0 comments - [How tech companies measure the impact of AI on software development](https://daily.dev/posts/how-tech-companies-measure-the-impact-of-ai-on-software-development-ytkfmn0mk) · Tech Lead Digest · 33 upvotes · 0 comments - [How AI Is Reshaping Software Development and How Tech Leaders Should Measure Its Impact](https://daily.dev/posts/how-ai-is-reshaping-software-development-and-how-tech-leaders-should-measure-its-impact-crtkldrzx) · Security Boulevard · 0 upvotes · 0 comments --- Tags: [#productivity](https://daily.dev/tags/productivity), [#ai-agents](https://daily.dev/tags/ai-agents), [#ai-coding](https://daily.dev/tags/ai-coding) [View this post on daily.dev](https://daily.dev/posts/uber-s-journey-of-measuring-ai-impact-on-developer-productivity-iflywwsas) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Uber’s journey of measuring AI impact on developer productivity","url":"https://daily.dev/posts/uber-s-journey-of-measuring-ai-impact-on-developer-productivity-iflywwsas","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/uber-s-journey-of-measuring-ai-impact-on-developer-productivity-iflywwsas"},"datePublished":"2026-06-22T14:08:43.893Z","dateModified":"2026-06-22T18:20:21.900Z","description":"Uber's engineering team shares how their approach to measuring AI's impact on developer productivity evolved through multiple phases: from adoption and...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/cae9eb28c463eb66efb294d0e5886e3a?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/cae9eb28c463eb66efb294d0e5886e3a?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"Software Engineering Research","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Software Engineering Research","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/70072ba716944ea6b33b3e3dc413140c","url":"https://daily.dev/sources/abinoda"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/uber-s-journey-of-measuring-ai-impact-on-developer-productivity-iflywwsas","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":1},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"productivity,ai-agents,ai-coding","timeRequired":"PT5M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Software Engineering Research","item":"https://daily.dev/sources/abinoda"},{"@type":"ListItem","position":3,"name":"Uber’s journey of measuring AI impact on developer productivity"}]} ```