Every career services leader knows the pitch. You walk into a budget meeting, make the case for expanding experiential learning, and someone across the table asks: "But what's the return?"
It's a reasonable question. It's also one that too many institutions still can't answer. Not because the outcomes aren't there, but because no one built the infrastructure to capture them. You deserve to be able to prove your hard work!!
That gap is no longer just a reporting inconvenience. It's becoming a competitive liability.
The Measurement Problem in Experiential Learning
The understatement of the century is that experiential learning is having a moment. Internships, co-ops, service-learning, research placements, community-based projects... you name it. Higher Ed has embraced these high-impact practices (HIPS) as central to student career readiness. And the evidence backs the enthusiasm: students who participate in structured experiential learning enter the workforce better prepared, more confident, and more competitive.
But here's the uncomfortable truth: most institutions are still tracking these programs the same way they tracked them a decade ago. Spreadsheets. Manual check-ins. End-of-semester surveys that capture sentiment, not outcomes. Hours logged without any connection to the competencies those hours were meant to develop.
NACE research underscores how deep this problem runs. More than half of higher education institutions — 56% — have not aligned career competencies with learning outcomes. Of those that have made progress, just 14% have done so at the institutional level. Meaningful measurement isn't just hard; it's rare.
What Employers Are Actually Looking For
Meanwhile, the employer side of the equation is shifting fast. Skill-based hiring is no longer a trend, it's the standard. Among employers surveyed in NACE's Job Outlook 2026, 70% report using skill-based hiring practices, up from 65% the previous year. When they review resumes from the Class of 2026, what they're looking for is evidence: demonstrated teamwork, problem-solving, communication. Not a title. Not a list of activities. Prooooof.
Students who come to interviews armed with specific examples ("I managed a team of four and reduced project turnaround time by 30%" rather than "I did a group project 👍") are the ones who get offers. The difference between those two students often isn't the quality of their experience. It's whether anyone helped them document it.
That's the job career services is increasingly being asked to do. And it requires data.
The Institutional Stakes
The pressure isn't just student-facing. Institutions are under mounting scrutiny to demonstrate that a degree delivers real workforce value. Legislators, accreditors, and prospective students all want evidence that the investment really pays off. Experiential learning is one of the most compelling answers Higher Ed has, but only if the outcomes are captured and communicated clearly.
Career services offices that can say "students who completed EL placements through our platform saw X% higher job placement rates within six months" are in a completely different conversation than those who can only say "we ran 200 internship placements last year." Only one of those tells a story of impact.
The distinction matters enormously when it's budget season, accreditation time, or a provost asking whether career services is worth its footprint.
Scaling Without Losing Sight of Quality
There's a tension that every career services leader feels as programs grow: the more students you serve, the harder it is to track what's happening for each one. Scale and quality start to feel like opposing forces.
They don't have to be. The institutions getting this right have built systems that make outcome capture part of the experience itself: embedded into the placement process, the mid-point check-in, the reflection, the supervisor evaluation. Data collection isn't bolted on at the end.
When that infrastructure exists, scale stops being the enemy of quality, and it becomes the mechanism for proving it.
Data ➡️ Strategy
Captured outcomes do more than satisfy reporting requirements. They make programs better. When you can see which types of placements produce the strongest competency gains, you can invest accordingly. When you can identify which student populations are underparticipating in EL, you can address the gap proactively. When you can show employers the competency profiles of students coming out of your programs, you become a more credible recruiting partner.
The institutions leading on this aren't just reporting data. They're using it to make strategic decisions and to make the case for career services as a core institutional function, not an auxiliary service.
That's the shift that outcome-driven experiential learning makes possible. But it starts with the measurement. And the measurement starts with the right infrastructure.
