The Learning Experience Ops Show

Jackrabbit Learning Experience

The Learning Experience Ops Show is a series of real conversations with the people building and running the systems that make learning work—across higher education, K–12, healthcare, clean energy, corporate L&D, and beyond. Each episode explores how learning teams are adapting to massive change: what’s working, what’s breaking, and what’s next. Guests share their strategies, tools, and stories from the front lines of Learning Experience Operations (LX Ops)—the evolving discipline where design, technology, and organizational systems meet. At its core, the show is about one big idea: learning gets better when it’s built on a clear, repeatable process that’s ready for whatever comes next.

  1. Episode 23: Brain Fry Is Real and Organizations Are Causing It: Heather Xu on Cognitive Burden, Pace Gaps, and the Human Cost of Too Much AI Too Fast

    5d ago

    Episode 23: Brain Fry Is Real and Organizations Are Causing It: Heather Xu on Cognitive Burden, Pace Gaps, and the Human Cost of Too Much AI Too Fast

    Summary: In this conversation, Jason Gorman and Heather Xu dig into the human side of AI transformation and the growing pace gap between technology, people, and organizations. Heather is the founder of Design for Flow and a former director at KPMG. They explore why learning teams must shift from being course creators to business-aligned capability builders, how to design workflows that preserve human thinking rather than surrendering it to AI, and why human connection is increasing in value, not decreasing. Heather introduces two practical frameworks: one for mapping AI relationships across a workflow (coach, thought partner, accelerator, automator) and another for personal AI value (amplify, unblock, stretch, free). The conversation closes with a discussion on human agency as the foundational skill for navigating an uncertain future. Takeaways: Technology, people, and organizations are moving at three different speeds. Your strengths are what make you feel strong, not just what you're good at. L&D teams must start with business strategy, not their own curriculum. If a learning program isn't adding value, it's actively reducing it. Design for human plus human plus AI, not just human plus AI. The real value of AI comes from strategic questions, not automated outputs. AI left on its own misses things that human judgment catches. Agency looks different for everyone: builders, explorers, sense makers, collaborators, creators. Organizations must account for cognitive burden as work intensifies. Human connection is becoming more valuable, not less, because of AI. Watch the full episode: Brain Fry Is Real and Organizations Are Causing It: Heather Xu on Cognitive Burden, Pace Gaps, and the Human Cost of Too Much AI Too Fast

    48 min
  2. Episode 22: The Shadow Curriculum Is Already Here- Adarsh Lathika on What Happens When Learners Stop Waiting for Institutions and Start Building Their Own Systems

    Jun 8

    Episode 22: The Shadow Curriculum Is Already Here- Adarsh Lathika on What Happens When Learners Stop Waiting for Institutions and Start Building Their Own Systems

    Summary In this conversation, Jason Gorman and Adarsh Lathika explore what happens to human capability when AI starts doing more of the thinking. Adarsh, a strategy and learning systems practitioner, introduces concepts like the shadow curriculum, cognitive debt, and the Anatomy of Work framework to explain how learners and employees are increasingly bypassing formal learning systems and building their own AI-powered solutions. They discuss why institutions and employers are losing relevance as learning providers, how prioritizing speed and output over depth is eroding foundational skills, and why human biology, judgment, and context are becoming the true competitive advantages in an AI-first world. Adarsh also unpacks three major shifts reshaping the field: from institutions to individuals, from courses to systems, and from knowledge to judgment. Takeaways Learners are building their own AI-powered learning tools outside formal systems. Knowledge is now abundant and instant; judgment is the real differentiator. AI is shortcutting the repetitive work that historically built domain expertise. Junior professionals are losing the chance to develop intuition through experience. Prioritizing speed and output creates only superficial skill development. Employees no longer trust that organizations are invested in their growth. L&D must shift from curating courses to building self-sustaining learning systems. Human biology, discipline, and habits outside work directly affect workplace performance. Transparency between employers and employees is essential to navigating this transition. Institutions must become places where cognitive and behavioral skills are built, not just credentials earned. Watch the full episode The Shadow Curriculum Is Already Here- Adarsh Lathika on What Happens When Learners Stop Waiting for Institutions and Start Building Their Own Systems

    39 min
  3. Episode 21: Your Story From the Inside Out- Simon Greenwold on Why Internal Communications Is the Most Underestimated Driver of Organizational Health

    May 20

    Episode 21: Your Story From the Inside Out- Simon Greenwold on Why Internal Communications Is the Most Underestimated Driver of Organizational Health

    Summary In this conversation, Jason Gorman and Simon Greenwold discuss the power of storytelling as a strategic tool for organizations, particularly in higher education. Simon, co-founder and CEO of Story as a Service and Jason's business partner, draws on over 25 years of experience at Northwestern University and EdTech company 2U to explain how organizations can clarify their core story and communicate it effectively, both internally and externally. They explore real client work at Princeton and Excelsior University, the current state of higher education under political and economic pressure, and why storytelling is a practical superpower for faculty, learning designers, and institutional leaders. Takeaways Internal communications are the most important and least understood part of organizational health. Every organization has a core story that must be clarified before strategy can be built. Storytelling translates academic jargon into language anyone can understand. People remember three things, so be concise and intentional. Stakeholders hold stakes; understand what they care about before you communicate. Higher ed is being disrupted by AI, politics, and economics all at once. Most workplace turbulence feels severe but is usually mild. An organization's core story is like a Shakespeare play: same story, new forms over time. AI will disrupt learning design but will not replace the humanity it requires. Storytelling is a learnable skill that can become a professional superpower. Watch the full episode Your Story From the Inside Out- Simon Greenwold on Why Internal Communications Is the Most Underestimated Driver of Organizational Health

    43 min
  4. Episode 20: Joy Is the Metric We Keep Forgetting- Fadia Rostom on Bringing Human-Centered AI Into Classrooms One Community at a Time

    May 11

    Episode 20: Joy Is the Metric We Keep Forgetting- Fadia Rostom on Bringing Human-Centered AI Into Classrooms One Community at a Time

    Summary In this conversation, Jason Gorman and Fadia Rostom explore the deeply human side of AI adoption in education. Fadia, founder of Vision Scholar and a former school principal with over 30 years in education and technology, shares how her journey as a Syrian immigrant shaped her passion for helping teachers rediscover the joy of teaching through AI. They discuss the layers of fear that hold educators back, from the intimidating name "artificial intelligence" to the broader resistance to change, and why teachers need the same permission to experiment and make mistakes that they give their students.  Takeaways AI can help teachers rediscover the joy of teaching. The name "artificial intelligence" itself creates fear and resistance. Teachers need permission to experiment and make mistakes. AI policies should be built from each community's unique context. AI works best in education through interdisciplinary approaches. How we measure success in education needs to be rethought. Change in education is slow and requires brave leadership. Celebrating what we share as humans matters now more than ever. Education needs to bring back life skills and critical thinking. Fear is real, but we owe it to students to move through it. Watch the full episode: Joy Is the Metric We Keep Forgetting- Fadia Rostom on Bringing Human-Centered AI Into Classrooms One Community at a Time

    44 min
  5. Episode 18: What Happens When a 2000 Course Audit Takes 90 Minutes?- Louis NeJame on the Early Evidence That Freeing Up Time Actually Unlocks More Demand for Real Expertise

    Apr 24

    Episode 18: What Happens When a 2000 Course Audit Takes 90 Minutes?- Louis NeJame on the Early Evidence That Freeing Up Time Actually Unlocks More Demand for Real Expertise

    Summary: In this episode of the Learning Experience Operations Show, Jason Gorman interviews Louis NeJame, co-founder and CEO of Bevel, an AI-powered platform built for higher ed instructional design teams. They explore what happens when instructional designers spend 60 to 70 percent of their time on operational tasks like course audits, accessibility fixes, and content maintenance instead of actual learning design. Louis shares how his background in strategy consulting at Titan Partners and AI product development at McGraw-Hill led him to build Bevel, and how conducting over 200 interviews with higher ed instructional designers revealed a massive misallocation of talent. The conversation covers the tension between what AI can do and what it should do in education, how automating tedious quality checks is already unlocking demand for the relational and strategic work that matters most, and why the entry-level job market disruption from AI will reshape higher education itself. Louis also reflects on the philosophical difference between finite and infinite games and how that shapes his approach to building in ed tech. Takeaways: 60 to 70 percent of instructional designers' time goes to operational tasks, not learning design Just because AI can do something doesn't mean it should Change management is the hard part, not building course materials Automating audits increases demand for designers rather than replacing them Baseline AI literacy is a prerequisite for productive strategy conversations Quality checks now cost near zero, shifting evaluation from summative to formative AI job market disruption will ripple directly through higher education Existing courses need competency mapping too, not just new programs Instructional designers are positioned to be change agents during this disruption The pace of AI change is outrunning society's adaptive systems Watch the full episode: What Happens When a 2000 Course Audit Takes 90 Minutes?- Louis NeJame on the Early Evidence That Freeing Up Time Actually Unlocks More Demand for Real Expertise

    47 min
  6. Episode 17: Tinder for L&D, 12 Years of Data- Donald Taylor on What Learning Professionals Think Is Hot and How Often They Are Wrong

    Apr 13

    Episode 17: Tinder for L&D, 12 Years of Data- Donald Taylor on What Learning Professionals Think Is Hot and How Often They Are Wrong

    Summary In this episode of the Learning Experience Operations Show, Jason Gorman interviews Donald Taylor, a prominent figure in the Learning and Development (L&D) field. They discuss the evolving landscape of L&D, the impact of technology, particularly AI, and the importance of networking and collaboration. Donald shares insights from his annual Global Sentiment Survey, highlighting trends and challenges in the profession. The conversation also delves into the Transformation Triangle, which outlines three potential future roles for L&D: skills authority, enablement partner, and adaptation engine. The episode emphasizes the need for L&D professionals to adapt to changing circumstances and to build strong relationships within their organizations. Takeaways The L&D profession is evolving with technology and societal changes. Inclusivity has improved in L&D, but challenges remain. Clinging to past methods can hinder progress in L&D. AI is a transformative force in the future of learning. Building networks is crucial for success in L&D. The Transformation Triangle outlines future roles for L&D professionals. Voice recognition technology will significantly impact L&D. Proactive engagement is necessary for L&D to thrive. Understanding organizational context is key to L&D strategy. The human element in L&D is essential for effective learning.  Watch the full episode Tinder for L&D, 12 Years of Data- Donald Taylor on What Learning Professionals Think Is Hot and How Often They Are Wrong

    53 min
  7. Episode 16: The Field Has Changed. Have You?- Dr. Luke Hobson on What Endures, What Doesn't, and How to Stay Relevant as an Instructional Designer

    Apr 1

    Episode 16: The Field Has Changed. Have You?- Dr. Luke Hobson on What Endures, What Doesn't, and How to Stay Relevant as an Instructional Designer

    Summary In this conversation, Jason Gorman and Dr. Luke Hobson discuss the evolving landscape of instructional design, particularly in the context of AI's impact on the field. They explore the importance of foundational skills, networking, and the challenges faced by instructional designers today. Dr. Hobson shares insights from his career journey, emphasizing the need for effective communication and project management skills. The discussion also touches on future predictions for the industry and the role of AI in enhancing learning experiences. Takeaways The landscape of instructional design is rapidly changing due to technology. AI is reshaping the future of learning professionals. Networking is crucial for career advancement in instructional design. A strong portfolio is now essential for job seekers in the field. Project management skills are vital for successful instructional design. Effective communication can prevent project failures. Understanding your audience is key to designing impactful learning experiences. Continuous learning and upskilling are necessary in a changing job market. Embracing AI can enhance productivity and creativity in instructional design. The future of education will involve more experimentation and data-driven decisions. Watch the full episode The Field Has Changed. Have You?- Dr. Luke Hobson on What Endures, What Doesn't, and How to Stay Relevant as an Instructional Designer

    51 min

About

The Learning Experience Ops Show is a series of real conversations with the people building and running the systems that make learning work—across higher education, K–12, healthcare, clean energy, corporate L&D, and beyond. Each episode explores how learning teams are adapting to massive change: what’s working, what’s breaking, and what’s next. Guests share their strategies, tools, and stories from the front lines of Learning Experience Operations (LX Ops)—the evolving discipline where design, technology, and organizational systems meet. At its core, the show is about one big idea: learning gets better when it’s built on a clear, repeatable process that’s ready for whatever comes next.