Capping cohort size is often framed purely as an intimacy or “feel” decision — a nicer, cosier training. There's a more concrete case for it too, one with actual research behind it from higher education more broadly, about what changes in both teaching quality and student outcomes as a class gets smaller.
What Class-Size Research Actually Shows
Class-size research in higher education is a genuinely large, active field, and its findings are broadly consistent even across very different subjects and institutions. A large study of roughly 25,000 students at a UK university found that larger class sizes were associated with meaningfully lower grades, an effect that was even more pronounced in STEM subjects. Other reviews looking across disciplines have found that smaller classes tend to show better results on standardised assessments and more positive long-term educational outcomes, alongside more room for varied instructional approaches.
How Smaller Cohorts Change What a Teacher Can Do
Beyond the headline outcome numbers, the research points to a mechanism that matters directly for a physical, hands-on skill like teaching yoga: instructors in smaller classes are better able to use a variety of instructional strategies, accommodate different learning styles, and create a genuinely dynamic, responsive learning environment, rather than defaulting to a single, one-size-fits-all delivery because that's what a large room requires. For a training built around physical practice, hands-on correction and real-time feedback, this isn't an abstract pedagogical preference — it's the difference between a lead teacher who can actually see and adjust every trainee's alignment, and one who structurally cannot.
Feedback Quality on Supervised Teaching
Supervised practice teaching — where trainees take turns leading real sequences and receive direct feedback — is one of the most valuable and most time-intensive parts of any teacher training. It scales very poorly with cohort size: doubling the number of trainees roughly halves the practice-teaching time and individual feedback each person receives, unless the training length is extended substantially to compensate. A capped cohort is, in large part, a direct commitment to preserving the amount of individual feedback each trainee actually gets.
Who Benefits Most from a Smaller Cohort
Some of the more striking findings in the broader class-size literature involve which students benefit most from smaller classes — research has found that students from less-advantaged backgrounds experience even larger gains than average students when class size is reduced, and that composition effects (who else is in the room) interact with class size in ways that are still being actively studied. This suggests smaller cohorts don't just modestly help everyone equally — they may particularly help students who'd otherwise be more likely to get lost in a larger group.
The Honest Trade-Off
Capping cohort size has a real cost: fewer total spots per training cycle, which affects both cost per student to run the program and how quickly a waitlist clears. That's a genuine trade-off, not a hidden win-win, and it's worth being upfront about rather than pretending a capped cohort is purely a marketing feature with no downside for the school running it.
What This Looks Like in Practice
In practice, capping a cohort means setting a maximum enrollment before a training cycle opens, closing enrollment once that number is reached rather than accepting late additions past capacity, and structuring supervised practice-teaching blocks so every trainee gets a comparable, meaningful amount of teaching time and direct feedback across the training — the concrete, checkable version of a commitment that's easy to state vaguely and much harder to actually schedule and deliver.