FRONTLINE ROLES

Higher
Education

21
Companies
127
Avg Overall
110
Avg AEC
17
Avg HA
38pp
AEC-HA Gap
1
Leading
5
Middle
15
Getting Started

Before a single student arrives on campus, hundreds of roles need to be filled. Right now, most higher education institutions are losing their best candidates to manual review queues.

Dining halls need to be staffed, residence halls cleaned, financial aid offices open, and administrative desks covered before the first student sets foot on campus in August. An unfilled admissions counselor during enrollment season means fewer prospective students get callbacks. A vacant financial aid officer during FAFSA cycle means processing backlogs that ripple into fall enrollment numbers.

Attraction, Engagement, and Conversion (AEC) scores reflect a baseline investment:

50%

AEC averages 50% of max, which is the lowest of all eight industries. This means there is plenty of room to grow in tapping local talent pools for admin, maintenance, and campus support

Once a candidate applies, the process stalls. Hiring Automation (HA) captures how organizations orchestrate the qualification process inline, from pre-screening and assessing to credentialing and scheduling, without manual intervention:

100%

One hundred percent of Higher Education institutions are Getting Started with Hiring Automation

12%

HA averages just 12% of max, making Higher Ed last in all eight industries

38pp

The 38-point AEC-HA gap defers qualification to delayed reviews, stalling hiring decisions past the window when top talent is still available

Generic credential verification is deployed by 38% of Higher Ed institutions, proving that inline qualification steps are achievable however, organizations aren’t getting specific. The opportunity is applying that same logic to screening, assessment, and scheduling. In institutions where HR teams are already stretched across faculty searches, staff hiring, student employment, and benefits administration, the absence of inline qualification for frontline roles means your best candidates accept offers at the hospital or school district down the road while your posting is still in committee review.

Phenom
Audit Key Findings

100%

One hundred percent of Higher Education institutions are Getting Started with Hiring Automation

12%

Higher Education ranks last of all eight industries at 12% of HA max

38%

Thirty-eight percent verify credentials inline, the industry's most-adopted capability

1

Only one institution deploys pre-hire assessments inline

1

Only one institution offers chatbot apply, and zero extend it to screening

Aptitude Research
Survey Insights

Higher Education remains early stage structurally, with limited inline assessment or scheduling orchestration despite moderate tool ownership.

49%

Forty-nine percent say automation urgency increased

35%

Thirty-five percent report manual-heavy workflows

28%

Twenty-eight percent use self-scheduling agents

14%

Fourteen percent report advanced automation maturity

What Leaders Do Differently

The one Leading the Pack institution is Dallas College. Its overall score of 246/365 places it well above the industry average. Even as the sole leader, more than two-thirds of the inline qualification stack remains undeployed, signaling the enormous opportunity ahead.

Dallas College is deploying four hiring automation capabilities where most Getting Started institutions deploy fewer than one: motivation-based matching, chatbot resume upload, inline feedback, and credential verification. This combination means candidates who arrive at Dallas College’s career site are matched to roles based on interests, can upload a resume in a conversational channel, receive feedback during the process, and have credentials captured at the point of application.

The widest gaps between Dallas College and Getting Started institutions:

capability
leaders
getting started
gap
Motivation-Based Matching
100%
0%
100%
Chatbot Resume Upload
100%
0%
100%
Credential Verification
100%
44%
56%
Industry & Role-Relevant Screening
0%
13%
13%
Inline Feedback
100%
47%
53%

However, even Dallas College does not deploy chatbot apply, chatbot screening, assessments, video interviews, or inline scheduling. The next tier of differentiation will come from institutions that extend this foundation into deeper qualification and compress the full timeline from application to interview.

Recommendations by Tier

Getting Started Middle of the Pack

Embed credential verification in the apply flow for every staff role.

Only 38% of institutions verify credentials inline, yet nearly every campus role requires some form of certification, clearance, or license. For facilities staff, dining services, campus security, and administrative coordinators, prompting for relevant credentials during the application eliminates the most common post-apply delay and gives HR teams a qualified shortlist from day one.

Add role-relevant screening questions.

Fourteen percent of institutions deploy screening aligned to the role. For administrative assistant and coordinator positions, three to five questions on scheduling software proficiency, office systems experience, and availability would immediately filter the applicant pool and save HR generalists hours of manual resume review per posting.

Enable chatbot apply for high-volume staff roles.

Only 5% of institutions allow chatbot apply. For dining services, facilities, and campus support roles where speed matters most, chatbot apply meets candidates in a conversational channel and captures engagement before they move on to the next posting.

Middle of the Pack Leading the Pack

Deploy pre-hire assessments for student-facing roles.

Only one institution uses assessments. For admissions counselors, financial aid officers, and front desk staff, a brief situational judgment assessment surfaces interpersonal skills and problem-solving ability before an interview. According to Aptitude Research survey data, 42% of organizations report quality-of-hire improvements from automation. Assessment is where that quality signal starts.

Extend chatbot capability from resume upload to full screening.

Two institutions offer chatbot resume upload, but zero use chatbot screening. The conversational channel is partially built. Using it to ask qualifying questions, confirm availability, and verify role fit turns a resume collection tool into a qualification engine.

Add inline interview scheduling for qualified candidates.

Zero institutions present scheduling within the apply flow. A qualified facilities coordinator should see available interview slots the moment they complete screening, not wait for an email from an HR office that processes 40 other requisitions.

Leaders: Stay Ahead

Pilot one-way video interviews for student-facing and public-facing roles.

Zero institutions deploy video interviews. For admissions counselors, front desk staff, and campus tour guides, a 3-minute recorded response reveals communication clarity and interpersonal presence in ways a resume cannot.

Add chatbot apply and chatbot screening to create a single-session qualification flow.

Dallas College has built the strongest foundation in higher education with motivation matching, resume upload, feedback, and credential capture. The next step is adding chatbot apply and extending it into screening so that a qualified candidate can move from application to confirmed qualification in one sitting.

The Sector That Shapes the Workforce Has the Least Automated Hiring Process for Its Own Staff

Overall

127

AEC

50%

HA

12%

AEC-HA GAP

38pp

The Qualification Gap: AEC Leads, HA Lags Across Higher Education

71% of Higher Education Institutions Are Getting Started, Double the Cross-Industry Average

Higher Education
All Industries

All Leaders Have Simplified Apply & Verify

Dallas College Leads Higher Education with 32% HA Deployment

Higher Ed AEC Clusters in the Low-Middle Range While HA Piles Up Near Zero

Higher Education Rankings

COMPANY
OVERALL
AEC
HA
HA%
AEC%
TIER
Dallas College
246
200
46
32%
91%
Leading the Pack
University of Miami
232
186
46
32%
85%
Middle of the Pack
Yale University
216
177
39
27%
81%
Middle of the Pack
University of Michigan
138
96
42
29%
44%
Middle of the Pack
Michigan State University
131
118
13
9%
54%
Middle of the Pack
University of Maryland
127
114
13
9%
52%
Middle of the Pack
University of Pennsylvania
116
108
8
6%
50%
Getting Started
University of Utah
114
90
24
17%
41%
Getting Started
University Of Cincinnati
111
95
16
12%
44%
Getting Started
BASIS International Schools
107
96
11
8%
44%
Getting Started
Washington University in St. Louis
106
98
8
6%
45%
Getting Started
Thomas Jefferson University
106
93
13
9%
43%
Getting Started
University of California
106
98
8
6%
45%
Getting Started
Penn State
105
100
5
4%
46%
Getting Started
University of Florida
105
84
21
15%
39%
Getting Started
University of Kentucky
104
96
8
6%
44%
Getting Started
University of Texas at Austin
104
94
10
7%
43%
Getting Started
The Ohio State University
103
98
5
4%
45%
Getting Started
University of Colorado
100
92
8
6%
42%
Getting Started
New York University
93
88
5
4%
40%
Getting Started
Virginia Commonwealth University
92
87
5
4%
40%
Getting Started