FRONTLINE ROLES

Information Technology

21
Companies
146
Avg Overall
123
Avg AEC
23
Avg HA
40pp
AEC-HA Gap
2
Leading
8
Middle
11
Getting Started

IT companies power the technological advancements transforming every industry, yet they don’t always apply those same innovations to their own hiring.

When support seats go unfilled, help desk tickets pile up, SLAs slip, and engineering teams lose productivity waiting on internal support that isn't there. Every unfilled production technician role stalls the hardware lines your customers are counting on. These aren't just roles to fill, they're the roles that keep production moving and revenue flowing.

Attraction, Engagement, and Conversion (AEC) scores are adequate:

56%

AEC averages 56% of max, which means routing customer service and technical support candidates to the right job is gaining traction

What happens at the apply click is a different story. Hiring Automation (HA) captures how organizations orchestrate the qualification window inline, from pre-screening and assessing to credentialing and scheduling, without manual intervention:

95%

Ninety-five percent of IT companies are Getting Started with Hiring Automation

16%

HA averages just 16% of max

40pp

The 40-point AEC-to-HA gap pushes qualification work back onto recruiters, trading inline qualification for roles that other industries are also chasing

Phenom
Audit Key Findings

95%

Ninety-five percent of IT companies are Getting Started with Hiring Automation

0

Zero companies reach Leading the Pack with Hiring Automation

#7

IT ranks 7 of 8 industries in HA at 16% of max

38%

Thirty-eight percent screen for industry and role relevance

1

Only one company deploys pre-hire assessments inline

19%

Nineteen percent allow chatbot apply

Aptitude Research
Survey Insights

IT hiring models demand deeper qualification signals. Yet inline orchestration is rare, contributing to longer interview cycles.

61%

Sixty-one percent primarily focus on high-value hiring

44%

Forty-four percent prioritize screening AI

38%

Thirty-eight percent use simulations

17%

Seventeen percent report end-to-end orchestration

What Leaders Do Differently

The two Leading the Pack companies are CAI and Zimmer Biomet. Their average HA score is 41/145 (29% of max), nearly three times the Getting Started average of nine percent. Even among leaders, however, more than two-thirds of the inline qualification stack remains undeployed, signaling the enormous opportunity ahead.

What separates leaders is not a single capability but the number of capabilities they connect. Leaders deploy an average of four HA capabilities per company, while Getting Started companies deploy fewer than two. The widest gaps concentrate in these areas:

capability
leaders
getting started
gap
Motivation-Based Matching
100%
0%
100%
Chatbot Apply
100%
0%
100%
Chatbot Resume Upload
100%
0%
100%
Credential Verification
0%
19%
19%
Industry & Role-Relevant Screening
0%
37%
37%
Inline Feedback
100%
73%
27%

The leader advantage in IT is built on conversational entry: chatbot apply, resume upload, and motivation-based matching. Both leaders also provide inline feedback, creating a responsive candidate experience. However, neither deploys assessments, credential verification, video interviews, or scheduling inline. The next competitive leap will come from companies that extend conversational qualification into deeper screening and compress the full hello-to-hire timeline within a single session.

Recommendations by Tier

Getting Started Middle of the Pack

Add role-relevant screening questions to the apply flow.

Thirty-eight percent of IT companies deploy screening aligned to the industry and role. For help desk and customer support positions, three to five questions on troubleshooting approach, availability, and tool familiarity would immediately separate qualified candidates from the noise and give hiring managers a shortlist instead of a stack.

Enable chatbot apply for frontline support roles.

Only 19% of IT companies allow chatbot apply. For customer service representative and technical support roles where volume is highest, chatbot apply meets candidates in the channel they already use and captures engagement at its peak.

Prompt credential verification during the application.

Only 14% verify credentials inline. For roles requiring CompTIA certifications, security clearances, or specific technical training, embedding credential prompts in the apply flow eliminates days of post-apply back-and-forth and lets recruiters advance verified candidates immediately.

Middle of the Pack Leading the Pack

Deploy pre-hire assessments for customer-facing roles.

Only one company in the entire industry uses assessments. For support and service roles, a brief situational judgment or technical triage assessment surfaces problem-solving ability before a recruiter invests time in a phone screen. According to Aptitude Research survey data, 42% of organizations report quality-of-hire improvements from automation.

Connect chatbot apply to chatbot screening.

Four companies offer chatbot apply. None extend it to screening. The conversational channel is already open. Using it to ask qualifying questions, verify availability, and confirm role fit turns a convenience feature into a qualification engine.

Add inline interview scheduling for qualified candidates.

Zero IT companies present scheduling within the apply flow. A qualified help desk candidate should see available interview slots the moment they finish screening, not wait for an email while they schedule interviews with three other employers.

Leaders: Stay Ahead

Pilot one-way video interviews for support roles.

Zero IT companies deploy video interviews. For customer support and help desk roles, a three-minute recorded response to a troubleshooting scenario reveals communication clarity and technical reasoning in ways a resume cannot.

Deploy voice screening agents for phone support roles.

Zero companies use voice agents. IT companies that staff phone-based support lines have a natural use case: AI voice screening can evaluate a candidate’s communication quality, patience under pressure, and technical vocabulary in the medium the job actually requires.

IT Powers Innovation, Yet Isn't Applying Automation to Its Own Hiring

Overall

146

AEC

56%

HA

16%

AEC-HA GAP

40pp

The Qualification Gap: AEC Leads, HA Lags Across IT

More IT Companies Are Getting Started Than Other Industries

Information Technology
All Industries

Leaders Deploy Conversational Entry While Getting Started Companies Deploy None

TTEC Leads IT with 38% HA Deployment Despite Ranking 6th Overall

IT AEC Clusters in the Middle While HA Piles Up in Getting Started

Information Technology Rankings

COMPANY
OVERALL
AEC
HA
HA%
AEC%
TIER
CAI
245
202
43
30%
92%
Leading the Pack
Zimmer Biomet
245
206
39
27%
94%
Leading the Pack
New Home Star
233
195
38
27%
89%
Middle of the Pack
Yelp
205
184
21
15%
84%
Middle of the Pack
Adobe
182
161
21
15%
74%
Middle of the Pack
TTEC
172
117
55
38%
54%
Middle of the Pack
Amazon
149
131
18
13%
60%
Middle of the Pack
QTS Data Centers
140
97
43
30%
45%
Middle of the Pack
SAIC
134
113
21
15%
52%
Middle of the Pack
Qualcomm
128
100
28
20%
46%
Middle of the Pack
IQVIA
124
100
24
17%
46%
Getting Started
Emerson
123
102
21
15%
47%
Getting Started
Dell
122
114
8
6%
52%
Getting Started
Stark Tech Group
122
98
24
17%
45%
Getting Started
Viega
119
103
16
12%
47%
Getting Started
TaskUs
117
101
16
12%
46%
Getting Started
UST
112
104
8
6%
48%
Getting Started
Western Digital Corp
106
88
18
13%
40%
Getting Started
CommScope
101
93
8
6%
43%
Getting Started
Salesforce
99
91
8
6%
42%
Getting Started
Flex
92
92
0
0%
42%
Getting Started