Voices of the Learning Network
Get ready for "Voices of the Learning Network", from The Learning Network! Tune in to hear straight from our members, and industry partners, and keep up with what happening in the Network and the wider Learning and Development industry!
Voices of the Learning Network is the official podcast of The Learning Network. We are a Community Interest Company (CIC) and exist solely to support you as a learning professional – so whether you are a seasoned professional or have just entered the field, the Learning Network exists to help you no matter what stage of your career you’re in.
We like to think we have something for everyone – our community includes instructional designers, trainers, developers, technologists, consultants, strategists, freelancers and industry leaders.
Voices of the Learning Network
Why Good Training Fails Under Pressure
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What happens when people know exactly what to do—until the pressure is on?
In this episode of Voices of The Learning Network, host Bill Banham sits down with Simon Strong, Co-Founder of Download Learning, to explore why traditional training often breaks down in high-pressure situations and what learning professionals can do to improve real-world performance.
Drawing on research from neuroscience, education, and workplace learning, Simon explains how stress affects memory, attention, decision-making, and performance. He introduces the concepts of "cold training" and "hot training," revealing why content that works perfectly in a calm classroom environment may fail when learners face real-world consequences, tight deadlines, or critical decisions.
The conversation explores one of the biggest challenges in instructional design: cognitive load. Simon argues that many learning experiences unintentionally overwhelm learners with information, making it harder—not easier—to perform when it matters most. Instead, effective learning design prioritizes clarity, simplicity, and decision-making support over content volume.
Bill and Simon also dive into the science behind time-sequenced learning, examining how spaced learning approaches can improve retention, strengthen neural connections, and increase the transfer of learning into workplace performance. They discuss evidence from schools, universities, and workplace settings, as well as practical ways organizations can integrate time-sequenced learning into broader development strategies.
The discussion concludes with an exploration of the CAR Model—Cognition, Application, and Review & Reflect—a framework designed to help learning professionals create learning ecosystems that support lasting behavior change rather than one-time knowledge acquisition.
Whether you're an instructional designer, learning leader, compliance professional, or anyone responsible for workforce capability, this episode offers practical insights into designing learning that performs when it counts.
In this episode:
- Understanding the difference between hot training and cold training
- How stress affects memory, attention, and decision-making
- Why clarity often matters more than completeness
- The hidden impact of cognitive load on workplace performance
- Common instructional design mistakes that undermine learning transfer
- Why knowledge recall is not the same as workplace competence
- Designing assessments that measure decisions and actions
- The neuroscience foundations of time-sequenced learning
- Research on retention, application, and learning effectiveness
- Applying the CAR Model: Cognition, Application, Review & Reflect
- Building learning ecosystems that support behavior change
About Simon Strong
Simon Strong is Co-Founder of Download Learning and a specialist in evidence-based learning design, workplace performance, and instructional effectiveness. His work focuses on helping organizations create learning solutions that improve real-world decision-making, retention, and performance under pressure.
Voices of the Learning Network is the Learning Network podcast connecting the learning and development community. https://thelearning-network.org/