The AI Impact Framework: A Data-Driven Model for Adoption, Productivity, and Business Outcomes

Name: The%20AI%20Impact%20Framework:%20A%20Data-Driven%20Model%20for%20Adoption,%20Productivity,%20and%20Business%20Outcomes
Uploaded: 2025-10-01T18:46:05.609Z

Posted Oct 01, 2025 | Views 38

# AI

# Data

# Business Goals

Krishna Kannan

Head of Product @ Jellyfish

Krishna Kannan is Head of Product at Jellyfish, the leading Software Engineering Intelligence platform, where he drives product vision and strategy for over 500 customers. Previously, he held senior product leadership roles at Pluralsight and Smarterer, among others. Krishna resides in Greater Boston with his partner and two young children, learning as much from them as they do from him.

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SUMMARY

Slide deck available here: https://docs.google.com/presentation/d/1VhcNdO48xJ385FwKNZ4k-gp06FCuHcQVi4qvCJLC_7Q/preview?slide=id.g376d53dbbfb_0_0

Engineering leaders are facing a new challenge: proving AI is actually delivering impact. In this session, Jellyfish shares its AI Impact Framework – built in collaboration with 300+ engineering leaders and grounded in data from over 20,000 developers. Learn how to assess adoption, productivity, and business outcomes with a structure tailored to today’s hybrid AI-human development teams.

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The AI Impact Framework: A Data-Driven Model for Adoption, Productivity, and Business Outcomes

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