There’s a particular form of institutional ambition that presents a bold vision in board meetings and lofty strategic plans, then magnificently collapses under the weight of its own bad arithmetic. Nowhere is this spurious ambition more evident than in the tendency of private universities to announce lofty online enrollment targets of neatly rounded figures with lots of zeros and “aggressive but realistic" five-year horizons. The pronouncements get shared with deans and decisions makers as the press releases get issued without questioning the structural realities that will determine whether the dollar-shaped enrollment numbers are achievable.
The rhetorical machinery at work here draws on two logical failures. The first is the reductive fallacy, in which a complex and multi-variable outcome (the enrollment target) is presented as though it depends on a single, manageable input. The second is the unqualified claim, in which the reductive fallacy is stated (and restated) in such a way as to sound like fact while omitting the many conditions necessary for the statement to be true. When a university announces then continually restates that, "We will enroll 10,000 online students within five years," it is almost always committing both errors simultaneously by reducing a deeply complicated operational challenge to a marketing declaration and leaving unstated the conditions that would actually make it possible.
Consider the example in plain terms. A university sets a target of 10,000 online students annually, consisting of approximately 3,000 undergraduates and 7,000 graduate students. When stated simply and read objectively, this sounds like an enrollment goal. In practice, it’s a retention challenge masquerading as a recruitment problem.
Online students, particularly at non-elite, tuition-dependent private institutions, are overwhelmingly non-traditional learners. They are working adults, caregivers, career-changers, veterans, and first-generation college students completing degrees part-time around the competing demands of full lives. They don’t move through degree programs in linear, semester-by-semester progression. They stop in and stop out at amazingly unpredictable frequency. What this means operationally is that the number of online students enrolled in a given semester is not the same as the number of students who are “active” at any given time in a degree program. To produce 3,000 undergraduate enrollments in a year, a university needs to retain approximately 6,000 active students. The share of active students who actually register in any given term (the underlying yield rate) runs at approximately 50% for online undergraduates who are perpetually present but intermittently enrolling.
The graduate enrollment arithmetic is similar, but with a smaller delta. To generate 7,000 graduate enrollments annually, a university needs to maintain 9,000 active students, as graduate online students tend to stop out less frequently than online undergraduate students. Adding the graduate and undergraduate counts together, the private university that announces a goal of 10,000 online enrollments annually is actually committing to maintaining a sustained active student population of approximately 15,000 learners in various stages of their programs.
The result of the flawed math means that most online enrollment growth plans are acquisition strategies with a retention assumption buried quietly inside them. The claim is "we will enroll 10,000 students." The unstated condition is "provided we can keep enough of our students continuously active at a yield rate we have not yet measured, planned for, or funded." Strip away the five-year timeline and the glossy strategic plan, and what remains is, "We will enroll 10,000 students assuming conditions we have not named and do not fully understand or addressed."
For a university genuinely committed to online growth, the honest version of a 10,000-student enrollment target is a multi-year retention project that must begin with understanding the actual stop-out and re-enrollment patterns in the existing online student body. A program that enrolls 2,000 new online students a year and retains 80% of its active base is generating durable, compounding growth. A program that enrolls 2,000 new students and loses 60% of its active population to attrition is running in place while burning recruitment budget.
Individuals charged with growing online programs announcing they will realize 10,000 enrollments in five years are not inherently dishonest. Their fervor, while reflective of institutional ambition, is almost always naively dilettantish. Uninformed by the structural realities of non-traditional learner behavior, these individuals find themselves picking through wilted word salads for something that looks like strategy.
The reductive fallacy tells us that enrollment growth is a function of marketing. The unqualified claim tells us that the number will happen, full stop, without naming the yield rates, retention infrastructure, and active-student populations required to produce it. Universities that want to build durable online programs need to say something smarter and more specific: "We will enroll 10,000 students annually by maintaining 15,000 active learners, achieving term-to-term yield rates of 50% for undergraduates and 20% for graduate students, and investing in the retention infrastructure necessary to make those numbers real."
love this argument, Mike (and a hearty "HELLO!").
ReplyDeleteIn my days running online programs at an OPM, we worked a student support model that applied 1 student advisor to every 100-250 students (with low or high end of the range dependent on nature of program mix). What's your sense of the typical structure within traditional universities running online programs themselves? Whatever it is, it sounds like it's typically insufficient to meet the need?
A hearty hello to you as well my friend! My perspective on the advisor-to-student ratio is that it's increasingly less important as AI platforms grow more mature and refined. My experience, as opposed to my perspective ;-), is that better or more focused advising is not the answer. Advisors can't resolve financial challenges, family crises, or job and schedule constraints. I think we simply have to accept that fact that re-enrollment rates for online undergraduate adult learners will always average 50ish percent of the active student count. Work the models, staffing, and scheduling based on the number, and hope that you'll be surprised if you 60% in a given semester.
DeleteMakes sense, Mike, thx for sharing your perspectives here…
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