More Product Driven episodes

How AI Is Disrupting Education with Katie Boody Adorno of LeanLab Education thumbnail

How AI Is Disrupting Education with Katie Boody Adorno of LeanLab Education

Published 2 Apr 2026

Duration: 28:55

A product-driven book challenges tech leadership to prioritize impact over agile processes, while Lean Lab Education uses human-centered design to address systemic education gaps through research, AI-enhanced learning tools, and advocacy for equitable, socially-engaged educational reforms over rote memorization and costly traditional models.

Episode Description

AI is changing how kids learn. But are schools ready?Katie Boody Adorno is the founder and CEO of LeanLab Education. She's spent 13 years trying to cl...

Overview

The discussion centers on two main themes: a product-driven approach to tech leadership and the transformative potential of education through innovative practices. The first focus is on a book critiquing the gap between tech output and meaningful outcomes, advocating for a framework that shifts engineering leadership from process-centric methods to outcome-driven strategies. This aligns with the "Missing Playbook" perspective, emphasizing the need for measurable impact over routine agile practices. The second theme explores Lean Lab Education, a nonprofit addressing systemic inequities in education by bridging innovation and pedagogy. Founded by Katie Booty Adorno, the organization originated from identifying flaws in traditional education and outdated technology, using lean startup principles and human-centered design to co-create solutions with teachers, students, and technologists. Its work includes incubating educational startups, developing tools like Enquire Ed, and later pivoting to research and evaluation of ed techs real-world impact, especially during the pandemic. Lean Lab now collaborates with schools and tech companies to test and improve educational technologies, funded through grants and fee-for-service models.

The conversation also critically examines the role of AI in education, highlighting both its potential and limitations. While AI tools like tutoring systems show promise in assisting educators and personalized learning, their effectiveness is often constrained by the absence of human interaction, which is crucial for emotional engagement and deeper understanding. Studies reveal that AIs impact is limited when used alone, with co-pilot models (augmenting human tutors) yielding better results than fully autonomous tools. Additionally, the discussion addresses broader challenges in education, including disparities in technology access, the risk of over-reliance on digital tools, and the need to balance screen time with social-emotional learning. Concerns are raised about AI potentially isolating students and the importance of purpose-driven motivation, practical application, and human connection in fostering meaningful learning. The dialogue also touches on post-pandemic learning recovery, the high cost of higher education, and calls to reimagine education as a system that cultivates creators, not just consumers, of knowledge.

Recent Episodes of Product Driven

13 Aug 2026 The 2026 State of IT Staffing: Trends in Hiring, AI, and Offshore

"Explores how AI shifts developers' roles from coding to solving business problems, highlights challenges in measuring impact, and emphasizes problem-solving over technical execution, hiring trends, and the importance of culture and customer feedback for meaningful outcomes."

6 Aug 2026 Why AI Made Software Engineers More Human

"Explores product development challenges, leadership transitions, AI risks, and demand generation, emphasizing outcomes over output, strategic leadership, and customer-driven success."

23 Jul 2026 It's Not About the Code. It's About the Problem.

"Focus on measurable outcomes over output in product development, leveraging domain expertise to identify startup opportunities like Ledger, while avoiding premature scaling and embracing AI's role in automation, marketing, and team dynamics."

25 Jun 2026 The Speed of Context: Why AI Changed What Engineers Actually Do

Strategies for integrating AI in engineering and leadership focus on shifting from code-centric development to context-driven outcomes, using tools like OpenClaw and Jira for collaboration, addressing alignment with customer needs, AI adoption challenges, automation with human oversight, and iterative product development based on user feedback.

More Product Driven episodes