Episode notes
The conversation, captured
- Date
- August 18, 2026
- Participants
- Kristian Luoma Christie Vanorsdale
The Coordination Tax is a podcast by In Parallel about what actually breaks down when teams stop sharing the same reality. In this episode, host Kristian Luoma sits down with Dr. Christie Vanorsdale — founder of Vanorsdale Learning Lab, holder of a doctorate in cognitive multimedia learning, and a fractional Chief Learning Officer who has spent 15 years dragging L&D out of order-taker mode. Companies are spending more on training than ever while execution keeps getting worse, and the conversation works through why: L&D is handed content requests instead of business problems, so it solves the wrong problem well. It runs from the order-taker trap and the subject-matter-expert promotion, through the science of working memory, to the IT team that looked like it was failing at product knowledge and wasn't.
Summary
- The core misdiagnosis: L&D gets treated as a content factory rather than a strategic partner. Someone arrives asking for a course, L&D builds the course, and nobody ever checks whether training was the problem.
- The subject-matter-expert trap: companies promote the person who knows the most about the work into the role of teaching it, without any background in how people actually learn. Expertise in a subject is not expertise in instruction.
- Working memory is limited in space AND in time — two constraints, not one. Most training design accounts for neither.
- The TikTok fallacy: "make it shorter" is the wrong reading of the attention research. Chopping a badly designed module into 60-second pieces does not fix the cognitive load; it just distributes it.
- L&D isn't at the strategy table, so it never hears the business goal — only the requested deliverable. When it is at the table, it becomes the translator across organizational silos, because it's the one function that talks to everybody.
- Measurement: completion rates measure attendance, not effect. Tie L&D to the business goal it was meant to move, and you can finally tell whether it worked.
- The IT specialists story: a team was 'failing at product knowledge' until Christie went and asked them. They had never been trained on who was on the other end of the phone — the real gap was customer knowledge, not product knowledge.
- The close: run a discovery process before designing a single module. Talk to the people doing the work, not just the person who requested the training.
What was discussed
The "order taker" problem
Key insight- L&D is handed content requests — "we need a course on X" — instead of business problems, and delivers exactly what was asked for.
- The cost is quiet: the training ships, the requester is satisfied, and the underlying performance problem is untouched.
- Treating L&D as a strategic partner means it gets to ask what outcome is supposed to change before anything gets built.
The subject-matter expert trap
Key insight- Companies promote their best practitioner into the training role, assuming that knowing the work means knowing how to teach it.
- Instructional design is its own discipline — grounded in how people learn — and it doesn't come bundled with subject expertise.
- The result is content that reflects how an expert thinks, not how a novice learns.
Working memory is limited in space and in time
Key insight- Two constraints, not one — most training design accounts for neither.
- Christie's doctorate is in cognitive multimedia learning, and this is the mechanism underneath most "the training didn't stick" complaints.
The TikTok fallacy
Highlight- "Make it TikTok-length" is the wrong conclusion to draw from attention research.
- Slicing a badly designed module into 60-second pieces redistributes the cognitive load rather than reducing it.
Why L&D isn't at the strategy table
Story- Excluded from strategy conversations, L&D never hears the business goal — only the deliverable someone has already decided on.
- That exclusion is what makes order-taking the default operating mode.
L&D as the translator across organizational silos
Key insight- L&D talks to every function, which makes it unusually well placed to carry context across silos.
- Used properly, it's a translation layer between parts of the company that no longer share the same picture.
When an emerging scaleup should engage L&D
Story- The timing question for mid-market scaleups — when the informal way of passing knowledge along stops holding.
How to actually measure L&D working
Key insight- Completion rates measure attendance, not effect.
- Measure against the business goal the training was meant to move, and effectiveness becomes visible.
The IT specialists story — a real misdiagnosis
Highlight- A team of IT specialists was reported as "failing at product knowledge," and the request was for more product training.
- Christie went and asked them. They had never been trained on the customers on the other end of the phone.
- The real gap was customer knowledge — the requested training would have solved a problem the team didn't have.
Closing advice: run a discovery process first
Highlight- Before designing a single module, run discovery — talk to the people doing the work, not only the person who filed the request.
- Most training problems turn out not to be training problems.
Links
Dr. Christie Vanorsdale on LinkedIn: linkedin.com/in/christievanorsdale-learning
Vanorsdale Learning Lab: vanorsdalelearninglab.com/services
The Coordination Tax Index 2026: download the report
Listen
Get new episodes in your inbox
One email per week on execution intelligence, team coordination, and enterprise AI. No fluff.
By subscribing you agree to our Privacy Policy. Unsubscribe anytime.