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In this episode, Eric Naiburg and Darrell Fernandes of Scrum.org tackle a pressing question: How do you measure the impact of AI on your team? from a recent webinar focused on AI as a teammate.
They explore how AI’s role differs across organizations—from ideation and analysis to stakeholder engagement—and why its productivity gains are still evolving. The conversation highlights the importance of combining qualitative insights with quantitative metrics, including flow-based measures like velocity, to assess real impact.
They also discuss the growing responsibility of hiring managers to define AI roles clearly, set expectations, and ensure AI contributes value without disrupting team dynamics. Plus, they share how AI itself can be leveraged to help define roles, recommend metrics, and improve performance measurement.
By Scrum.org4.8
1313 ratings
In this episode, Eric Naiburg and Darrell Fernandes of Scrum.org tackle a pressing question: How do you measure the impact of AI on your team? from a recent webinar focused on AI as a teammate.
They explore how AI’s role differs across organizations—from ideation and analysis to stakeholder engagement—and why its productivity gains are still evolving. The conversation highlights the importance of combining qualitative insights with quantitative metrics, including flow-based measures like velocity, to assess real impact.
They also discuss the growing responsibility of hiring managers to define AI roles clearly, set expectations, and ensure AI contributes value without disrupting team dynamics. Plus, they share how AI itself can be leveraged to help define roles, recommend metrics, and improve performance measurement.

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