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Product TalkAuthor: Products That Count
Produced by Products That Count, a 501(c)3 nonprofit that helps everyone build great products, this podcast is an award-winning show by and for product minds, with millions of downloads and a 5-star rating on most major platforms. Each of the 300 episodes features a product leader interviewing another product leader and exploring what it takes to build great products. Recent ones feature the Chief Product Officers of Brex, Glassdoor, Experian and more. About Us: Products that Count is a 501(c)3 nonprofit that helps everyone build great products. It celebrates product excellence through coveted Awards that inspire 500,000 product managers and honor great products and the professionals responsible for their success. It accelerates the career and rise to the C-suite of 30% of all Product Managers globally by providing exceptional programming including award-winning podcasts and popular newsletters for free. It acts as a trusted advisor to all CPOs at Fortune 1000, and publishes key insights from innovative companies, like Capgemini, SoFi, and Amplitude, that turn product success into business success. Learn more at ProductsThatCount.com. Language: en Genres: News, Tech News, Technology Contact email: Get it Feed URL: Get it iTunes ID: Get it |
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How To Measure Productivity Gain From AI
Wednesday, 22 April, 2026
How can product and engineering leaders actually prove the ROI of AI adoption when everyone is being asked to justify the investment but few teams have a clear measurement playbook? In this podcast hosted by Hoda Mehr, Co-founder and CEO of Up My Mojo and a Board Member at Products That Count, Pensero AI Co-Founder Bernardo Hernandez will be speaking on how to measure productivity gains from AI in a way that is rigorous, practical, and useful for annual planning cycles. As tools like Cursor and Claude Code promise 3 to 10× productivity gains in engineering, leadership teams are moving quickly to allocate budgets and set expectations, while product leaders are being asked to benchmark progress and quantify impact without clear precedents. This conversation explores how experienced operators are approaching that challenge and what it takes to turn AI productivity claims into measurable results that teams can confidently use for planning and decision-making.
