Stop Guessing: Gainful Employment Risk Is Now a Leadership DecisionNational Take A Wild Guess Day Perspective

On National Take A Wild Guess Day, there is an uncomfortable question every institutional leader should be asking:

Are we making strategic decisions based on data—or based on assumptions?

Because when it comes to Gainful Employment metrics and program viability risk, guessing is no longer a sustainable leadership strategy.

Too often, institutions wait until federal reporting cycles, accreditor reviews, or enrollment declines force the conversation.

By then, the risk has already matured.

Program exposure rarely begins when the metric is published.

It begins much earlier—when leadership teams fail to continuously monitor the underlying indicators that drive federal concern.

This is where executive oversight becomes critical.

Gainful Employment is not merely a Financial Aid reporting issue.

It is an institutional performance signal.

It reflects whether academic offerings, enrollment strategy, tuition structure, student persistence, and workforce outcomes remain aligned.

When they do not, the institution begins to accumulate exposure in ways that may not be immediately visible.

The warning indicators often emerge well before formal findings:

• declining placement outcomes

• increasing withdrawal patterns

• rising student indebtedness

• tuition levels disconnected from wage outcomes

• enrollment growth in underperforming programs

• weak persistence into completion

Each of these represents more than an operational metric.

Each is a leadership signal.

The risk is not simply that a program may underperform.

The risk is that leadership teams continue operating as if the program remains viable without sufficient evidence.

That is where institutions move from analysis into assumption.

And assumptions, in the current regulatory environment, can become expensive.

Because federal risk rarely punishes effort.

It punishes institutions that continue forward without evidence.

Today’s leadership question is simple:

Which of our programs are we actively measuring—and which are we still managing by instinct?

Coming in Part 2 of 3 later today:
How leadership teams miss early program distress signals because departments are measuring different definitions of success.

Because program risk rarely begins in the file.

It begins in the assumptions.