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Behind the Scenes of Productivity Metrics at LinkedIn Logo

Grant Jenks

Senior Staff Software Engineer

LinkedIn

Summit producer highlights:

Grant from the LinkedIn developer insights team shares how they capture productivity engineering metrics from teams/products/projects at LinkedIn. Grant shares how they collect, aggregate, analyze, and visualize the metrics for engineering leaders and productivity champions. Grant also surfaces examples of impactful metrics, such as the median duration that PR authors wait for feedback in code reviews.

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About the session

Grant from the LinkedIn developer insights team shares how they capture productivity engineering metrics from teams/products/projects at LinkedIn. Grant shares how they collect, aggregate, analyze, and visualize the metrics for engineering leaders and productivity champions. Grant also surfaces examples of impactful metrics, such as the median duration that PR authors wait for feedback in code reviews.

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Behind the Scenes of Productivity Metrics at LinkedIn

At LinkedIn, many diverse teams exist–backend, frontend, mobile, etc, each with patterns and nuances that no single team can understand. Leveraging four kinds of analytics–descriptive, diagnostic, predictive, and prescriptive–the Developer Insights team is now building next-generation developer experience dashboards that leverage modern data science and AI models.

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Get the top 3 Developer Productivity Engineering metrics according to Develocity customers.

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Learn more about the Develocity API that LinkedIn uses to capture build/test times across all of their Gradle projects.

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The slides

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Who is Grant Jenks?

Grant Jenks is a technical leader with 15 years of experience in turning research and product ideas into high performance software. For the last three years, he has worked at LinkedIn in the Developer Productivity and Happiness organization on the Developer Insights team. Developer Insights works like a “Fitbit for engineering teams” to identify and improve pain points in developer workflows. Prior to LinkedIn, Grant founded an adtech analytics company and applied expertise in distributed systems and machine learning to predicting search engine rankings. His work in analytics was a pivot from his initial role as a compiler engineer on the Midori OS research and incubation project at Microsoft.

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