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How AI is Revolutionizing Productivity Measurement: Insights from Ashley Kramer, GitLab's Interim CRO, CSO, and CMO
Media Type |
audio
Categories Via RSS |
Business
Investing
Technology
Publication Date |
Jan 23, 2025
Episode Duration |
00:30:25
Live from the SaaStock USA 2024 Scale Stage, Ashley Kramer, GitLab’s Chief Strategy and Marketing Officer, sits down with AJ Eckstein, Founder & Creator at Creator Match and Fast Company. Together, they explore the imminent shift in how companies measure AI's impact on efficiency, questioning whether the productivity gains truly justify the risks and costs associated with AI adoption. Ashley argues that forward-thinking companies must move beyond traditional output metrics and focus on those that reflect real business value—such as enhanced software quality, faster time-to-market, consistent delivery, and, most importantly, improved customer satisfaction.Check out the other ways SaaStock is serving SaaS founders 🇺🇸 SaaStock USA 2025: 13-15 May 2025 | Austin, Texas. Connect, learn and thrive at the leading conference for B2B SaaS Founders, Operators and Investors from Pre-Seed to Series C. (https://ti.to/saastock/saastock-usa-2025) 🇮🇪 SaaStock Europe 2025: 12-14 October 2025 | Dublin, Ireland. "The best SaaS conference for founders, execs & investors in Europe, period." - Christoph Janz, Partner, Point Nine. (https://share.hsforms.com/1FbUpCXpJT8um3MehUUYcAg3upof) 🤝 SaaStock Founder Membership: A private members group of B2B SaaS founders between $100K - $10M ARR who are committed to growth and helping others (https://www.saastock.com/founder-membership/) 🌎 SaaStock Local: Monthly meet-ups in cities all around the world, bringing together SaaS enthusiasts and experts to discuss the most pressing topics in SaaS (https://local.saastock.com/home)
Live from the SaaStock USA 2024 Scale Stage, Ashley Kramer, GitLab’s Chief Strategy and Marketing Officer, sits down with AJ Eckstein, Founder & Creator at Creator Match and Fast Company. Together, they explore the imminent shift in how companies measure AI's impact on efficiency, questioning whether the productivity gains truly justify the risks and costs associated with AI adoption. Ashley argues that forward-thinking companies must move beyond traditional output metrics and focus on those that reflect real business value—such as enhanced software quality, faster time-to-market, consistent delivery, and, most importantly, improved customer satisfaction.

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