All industries overview

Frontline

219
Companies
165
Avg Overall
136
Avg AEC
30
Avg HA
41pp
AEC-HA Gap
32
Leading
110
Middle
77
Getting Started

Industry Findings

Across all industries, unfilled frontline roles impose immediate costs to service, safety, and revenue. These positions simply can't wait for a two-week recruitment cycle.

Organizations have invested in Attraction, Engagement, and Conversion (AEC): the work and technology that get candidates to the right job.

62%

AEC scores average 62% of maximum potential score, with 37% of companies Leading the Pack

But the moment a candidate clicks apply, the process stalls. Hiring Automation (HA) captures how organizations orchestrate that critical window: screening, qualifying, scheduling, and advancing candidates inline without manual intervention or delayed automations. The gap is vast:

21%

HA scores average just 21% of maximum, with 85% of companies Getting Started

That 41-point gap between attracting candidates and qualifying them is not an abstract metric. It represents the manual workload landing back on recruiters and hiring managers every day: reviewing unscreened applications, chasing credentials by email, and scheduling interviews by phone while the candidate who applied yesterday morning has already accepted an offer elsewhere.

The qualification tools that would compress time-to-hire are simply not deployed inline:

6%

Only six percent of companies offer inline interview scheduling

1%

Only one percent offer one-way video interviews

1%

Only one percent use Voice Screening Agents

According to the Aptitude Research survey, 62% of organizations say automation is more urgent than last year while 44% identify screening as the stage most in need of AI.

Aptitude Research Survey Insights

Across industries, three consistent patterns emerge:

  1. Urgency is high across all sectors.
  2. Tool ownership is widespread.
  3. Inline orchestration remains uncommon.

Industries differ in pressure. Retail and Hospitality feel speed urgency; Healthcare and IT feel quality urgency. But the structural gap is universal.

The competitive advantage in 2026 will not be who owns the most tools. It will be who connects screening, assessment, credential verification, and scheduling into a single inline workflow.

Phenom
Audit Key Findings

85%

Eighty-five percent of companies are Getting Started on hiring automation

89%

Eighty-nine percent of companies do not deploy an industry-specific pre-hire assessment inline

90%

Ninety percent do not deploy pre-screening questions aligned to the role

99%

Ninety-nine percent of companies do not deploy voice screening agents or multi-modal screening

100%

One hundred percent of Leading the Pack companies deploy motivation-based job matching

6%

Only six percent of companies offer inline interview scheduling

Aptitude Research
Survey Key Findings

35%

Thirty-five percent of recruiter time is spent on interview coordination

54%

Fifty-four percent of organizations cite quality as their top hiring challenge

62%

Sixty-two percent of organizations say automation is more urgent than last year

44%

Forty-four percent identify screening as the hiring stage most in need of AI

What Leaders Do Differently

What separates these organizations is not a single capability, but rather a stack of them deployed together. Leaders do not just attract candidates better; they qualify them inline at dramatically higher rates. The widest gaps between leaders and Getting Started companies reveal where the differentiation is sharpest.

Leaders are nearly four times more likely to enable chatbot-based applications and screening, collapsing the apply pipeline into a single session. Getting Started companies defer almost every qualification step to post-apply workflows, creating lag that costs candidates and burdens hiring teams.

Aptitude Research Survey Findings

Chatbot Adoption Analysis

52%

Fifty-two percent use text-based screening

38%

Thirty-eight percent use voice

37%

Thirty-seven percent use video

41%

Forty-one percent use job simulations

capability
leaders
getting started
gap
Motivation-Based Matching
100%
0%
100%
Chatbot Apply
72%
0%
72%
Chatbot Resume Upload
66%
0%
66%
Screening Aligned to Role
31%
3%
28%
Industry-Specific Assessment
25%
0%
25%
Assessment Relevant to Job
22%
0%
22%
Chatbot Screening
41%
0%
41%
Interview Scheduling Inline
16%
3%
13%
Situational Judgment Assessment
22%
0%
22%
Credential Verification
38%
32%
6%
Industry & Role-Relevant Screening
50%
39%
11%
Inline Feedback
91%
42%
49%

Cross-Industry Benchmark: Frontline Roles

rank
industry
Companies
avg Overall
AvG Aec
AvG ha
ha %
aec %
lead
mid
gs
1
Retail
26
192
152
40
28%
69%
6
17
3
2
Manufacturing
31
184
154
30
21%
70%
6
19
6
3
Healthcare
34
183
145
37
26%
66%
8
19
7
4
Financial Services
24
165
139
26
18%
63%
3
12
9
5
Transportation and Logistics
33
157
128
29
20%
58%
6
11
16
6
Hospitality
29
153
123
30
20%
56%
0
19
10
7
IT
21
146
123
23
16%
56%
2
8
11
8
Higher Education
21
127
110
17
12%
50%
1
5
15

No industry falls below 50% when it comes to Attraction, Engagement and Conversion, confirming that the candidate-facing experience has reached a baseline level of maturity market-wide.

Hiring Automation scores tell a different story: No industry exceeds 28%, and the bottom three (Financial Services,  IT, and Higher Education) sit between 12% and 18%. The AEC-to-HA gap averages 41 percentage points, confirming that the market has invested in attracting candidates but not in qualifying them inline.

Recommendations by Tier

The common thread across every tier is the same: individual capabilities matter less than how they connect. The audit consistently shows that organizations with the highest hiring automation scores are not simply deploying more tools. They are orchestrating those tools into a single, connected inline workflow where screening, assessment, credential verification, and scheduling hand off to each other, without the candidate leaving the experience or a recruiter intervening between steps. The recommendations below are sequenced so that each tier builds toward that connected state.

Getting Started Middle of the Pack

Deploy motivation-based matching and inline pre-screening questions.

These two capabilities show the widest adoption gaps between Getting Started and Middle of the Pack companies, and they require no complex integration. Matching candidates to the right role based on motivation and interests before they apply reduces mismatches. Adding role-aligned screening questions during the application gives recruiters a qualified shortlist instead of an undifferentiated pile of resumes.

Add credential verification to the apply flow.

Only 35% of companies prompt for credentials inline, but for industries where licenses, certifications, or training are non-negotiable (CDLs in transportation, CNAs in healthcare, food safety in hospitality), verifying credentials during the application eliminates days of manual follow-up.

Enable inline feedback for candidates.

Fifty-seven percent of all companies already provide some form of inline feedback, yet many candidates who apply and hear nothing assume the worst. A simple confirmation with clear next steps that come inline keeps candidates warm and reduces the ghosting that plagues frontline hiring.

Middle of the Pack Leading the Pack

Orchestrate chatbot engagement into a complete qualification workflow.

Many Middle of the Pack companies have a chatbot on the career site but use it only for FAQs or job search. Leaders connect the chatbot to the full qualification flow: apply, upload a resume, answer screening questions, and get feedback, all within a single conversation.

Add pre-hire assessments inline and wire them into the qualification sequence.

Only 13% of companies deploy industry-specific assessments, and only 11% deploy role-aligned assessments. The goal is not just to add an assessment but to position it within the orchestrated flow so that a candidate who passes screening is immediately routed to the assessment, and a candidate who completes the assessment is immediately routed to scheduling.

Enable inline interview scheduling as the endpoint of the orchestrated workflow.

At only six percent adoption, this is the single highest-impact capability that Middle of the Pack companies are not deploying. Scheduling should not be a standalone feature. It should be the natural conclusion of the inline qualification sequence: the candidate applies, passes screening, completes an assessment, and is immediately presented with interview availability. That is the compressed, orchestrated workflow that separates leaders from the middle.

Leaders: Stay Ahead

Apply hiring automation across all role types.

The orchestration engine is built. Extend it beyond high-volume frontline roles to knowledge worker positions, credentialed specialists, and seasonal surge hiring.

Pilot and adopt voice screening agents.

At one percent adoption, voice is the largest untapped frontier. For candidates applying between shifts or from a phone, an AI voice agent that screens, qualifies, and schedules in one call meets them where they are. According to Aptitude Research survey data, 42% of organizations say screening agents are the most impactful next investment.

Deploy one-way video interviews inline.

Only one percent of companies offer this capability. For roles where communication and demeanor matter (servers, front desk agents, patient care techs), a brief in-browser video response replaces the first live interview entirely. Connected to the orchestrated workflow, the video becomes an insight that feeds directly into the scheduling decision.

The Qualification Gap: Every Industry Attracts Better Than It Qualifies

Majority of Companies Are Getting Started or Middle of the Pack on Hiring Automation

Where Automation Is Deployed, and Where It Isn’t

What Separates Leaders from Everyone Else

No Industry Exceeds 28% on Hiring Automation

Most Companies Cluster Below 50% of Maximum Hiring Automation Potential

All Frontline Industries Rankings

COMPANY
OVERALL
AEC
HA
HA%
AEC%
TIER
Circle K
316
194
122
84%
89%
Leading the Pack
MV Transportation
314
196
118
82%
90%
Leading the Pack
Elara Caring
288
182
106
74%
83%
Leading the Pack
Southwest Airlines
281
208
73
51%
95%
Leading the Pack
Michaels
280
208
72
50%
95%
Leading the Pack
DHL Group
268
202
66
46%
92%
Leading the Pack
Baylor Scott & White Health
266
200
66
46%
91%
Leading the Pack
Thermo Fisher Scientific
265
204
61
43%
93%
Leading the Pack
St. Charles Health System
261
194
67
47%
89%
Leading the Pack
Bass Pro Shops
260
204
56
39%
93%
Leading the Pack
Rally House
259
200
59
41%
91%
Leading the Pack
CONMED
255
198
57
40%
90%
Leading the Pack
Royal Mail
253
210
43
30%
96%
Leading the Pack
Holland Special Delivery
252
204
48
34%
93%
Leading the Pack
Northbridge Financial Corporation
252
209
43
30%
95%
Leading the Pack
Conagra Brands
252
210
42
29%
96%
Leading the Pack
Children's Healthcare of Atlanta
252
175
77
54%
80%
Leading the Pack
HUB International
251
208
43
30%
95%
Leading the Pack
Exyte
251
208
43
30%
95%
Leading the Pack
Sleep Number
251
216
35
25%
99%
Leading the Pack
Agiliti
251
182
69
48%
83%
Leading the Pack
United Airlines
250
202
48
34%
92%
Leading the Pack
Crossover Health
247
184
63
44%
84%
Leading the Pack
Innovative Renal Care
247
196
51
36%
90%
Leading the Pack
Pentair
247
194
53
37%
89%
Leading the Pack
BRP
247
206
41
29%
94%
Leading the Pack
Dallas College
246
200
46
32%
91%
Leading the Pack
Manulife | John Hancock
246
208
38
27%
95%
Leading the Pack
Runnings
245
204
41
29%
93%
Leading the Pack
CAI
245
202
43
30%
92%
Leading the Pack
Zimmer Biomet
245
206
39
27%
94%
Leading the Pack
Clemens Food Group
245
207
38
27%
95%
Leading the Pack
Texas Roadhouse
244
190
54
38%
87%
Middle of the Pack
HelloFresh
244
206
38
27%
94%
Middle of the Pack
Children's Medical Center of Dallas
244
156
88
61%
71%
Middle of the Pack
HUGO BOSS
243
210
33
23%
96%
Middle of the Pack
Butterball
242
198
44
31%
90%
Middle of the Pack
South State Bank
242
184
58
40%
84%
Middle of the Pack
Freddy's Frozen Custard
242
184
58
40%
84%
Middle of the Pack
Kerry Group
240
202
38
27%
92%
Middle of the Pack
Truist
239
206
33
23%
94%
Middle of the Pack
Excellus BlueCross BlueShield
239
208
31
22%
95%
Middle of the Pack
Jay Nolan Community Services
237
199
38
27%
91%
Middle of the Pack
McCain Foods
235
208
27
19%
95%
Middle of the Pack
Thales
235
197
38
26%
90%
Middle of the Pack
Children's Minnesota
233
196
37
26%
90%
Middle of the Pack
New Home Star
233
195
38
27%
89%
Middle of the Pack
University of Miami
232
186
46
32%
85%
Middle of the Pack
Sonesta International Hotels
232
194
38
27%
89%
Middle of the Pack
Masco Corporation
232
202
30
21%
92%
Middle of the Pack
Panera Bread
231
198
33
23%
90%
Middle of the Pack
Philip Morris International (PMI)
230
194
36
25%
89%
Middle of the Pack
Sendik's Food Market
228
180
48
34%
82%
Middle of the Pack
LCMC Health
226
198
28
20%
90%
Middle of the Pack
OMERS
225
196
29
20%
90%
Middle of the Pack
Oshkosh Corporation
224
180
44
31%
82%
Middle of the Pack
Qnity Electronics, Inc.
222
184
38
27%
84%
Middle of the Pack
Franciscan Health
222
176
46
32%
80%
Middle of the Pack
US Bank
222
196
26
18%
90%
Middle of the Pack
Vallen
221
176
45
32%
80%
Middle of the Pack
Restaurant Technologies
217
191
26
18%
87%
Middle of the Pack
Yale University
216
177
39
27%
81%
Middle of the Pack
Pyramid Global Hospitality
215
177
38
27%
81%
Middle of the Pack
St. Tammany Health System
215
182
33
23%
83%
Middle of the Pack
Dallas/Fort Worth International Airport
215
182
33
23%
83%
Middle of the Pack
Kuehne+Nagel
209
194
15
11%
89%
Middle of the Pack
Givaudan
207
192
15
9%
87%
Middle of the Pack
DaVita Kidney Care
205
174
31
22%
80%
Middle of the Pack
Yelp
205
184
21
15%
84%
Middle of the Pack
Hartford Healthcare
204
163
41
29%
75%
Middle of the Pack
Four Seasons
200
180
20
14%
82%
Middle of the Pack
Virgin Voyages
199
183
16
12%
84%
Middle of the Pack
Viking Cruises
195
156
39
27%
71%
Middle of the Pack
Illinois Tool Works (ITW)
195
182
13
9%
83%
Middle of the Pack
Vituity
194
150
44
31%
69%
Middle of the Pack
Marsh McLennan
192
151
41
29%
69%
Middle of the Pack
Sweetwater Sound
192
170
22
16%
78%
Middle of the Pack
Virgin Galactic
190
174
16
12%
80%
Middle of the Pack
Mastercard
190
161
29
20%
74%
Middle of the Pack
Target Corporation
188
122
66
46%
56%
Middle of the Pack
Adobe
182
161
21
15%
74%
Middle of the Pack
Union Pacific Railroad
180
141
39
27%
65%
Middle of the Pack
Kroger
175
113
62
43%
52%
Middle of the Pack
Dollar General
174
124
50
35%
57%
Middle of the Pack
TTEC
172
117
55
38%
54%
Middle of the Pack
CarGurus
172
164
8
6%
75%
Middle of the Pack
7-Eleven
172
121
51
36%
56%
Middle of the Pack
Dutch Bros Coffee
171
125
46
32%
57%
Middle of the Pack
Marriott
170
122
48
34%
56%
Middle of the Pack
MSC Cruises
165
144
21
15%
66%
Middle of the Pack
Mondelez
163
122
41
29%
56%
Middle of the Pack
Patagonia
160
150
10
7%
69%
Middle of the Pack
NYU Langone
160
102
58
40%
47%
Middle of the Pack
H-E-B
160
103
57
40%
47%
Middle of the Pack
Knight-Swift Transportation
160
92
68
47%
42%
Middle of the Pack
Chipotle Mexican Grill
155
106
49
34%
49%
Middle of the Pack
Darden Restaurants
155
81
74
52%
37%
Middle of the Pack
WK Kellogg
153
114
39
27%
52%
Middle of the Pack
PepsiCo
152
101
51
36%
46%
Middle of the Pack
Travelers
150
94
56
39%
43%
Middle of the Pack
Ochsner Health System
149
131
18
13%
60%
Middle of the Pack
Amazon
149
131
18
13%
60%
Middle of the Pack
Sanford Health
148
120
28
20%
55%
Middle of the Pack
Ford Motor Company
145
122
23
16%
56%
Middle of the Pack
Walgreens
144
120
24
17%
55%
Middle of the Pack
Panda Restaurant Group Inc
143
110
33
23%
50%
Middle of the Pack
United Parcel Service (UPS)
142
116
26
18%
53%
Middle of the Pack
QTS Data Centers
140
97
43
30%
45%
Middle of the Pack
Fidelity Investments
139
116
23
16%
53%
Middle of the Pack
Walgreens Boots Alliance
139
118
21
15%
54%
Middle of the Pack
University of Michigan
138
96
42
29%
44%
Middle of the Pack
Atrium Health
138
112
26
18%
51%
Middle of the Pack
Vail Resorts
137
109
28
20%
50%
Middle of the Pack
Johnson & Johnson
135
114
21
15%
52%
Middle of the Pack
Taco Bell
135
69
66
46%
32%
Middle of the Pack
Six Flags Entertainment
134
118
16
12%
54%
Middle of the Pack
SAIC
134
113
21
15%
52%
Middle of the Pack
Aimbridge Hospitality LLC
133
92
41
29%
42%
Middle of the Pack
iQor
132
94
38
27%
43%
Middle of the Pack
Alaska Air Group
132
119
13
9%
55%
Middle of the Pack
Pfizer
132
106
26
18%
49%
Middle of the Pack
Jetblue Airways Corporation
131
106
25
18%
49%
Middle of the Pack
CSX Corporation
131
107
24
17%
49%
Middle of the Pack
ScionHealth
131
115
16
12%
53%
Middle of the Pack
Michigan State University
131
118
13
9%
54%
Middle of the Pack
Sysco Corporation
131
110
21
15%
50%
Middle of the Pack
Loblaw Companies Limited
131
116
15
11%
53%
Middle of the Pack
UnitedHealth Group (UHG)
129
111
18
13%
51%
Middle of the Pack
Qualcomm
128
100
28
20%
46%
Middle of the Pack
Costco
128
107
21
15%
49%
Middle of the Pack
Kaiser Permanente
128
112
16
12%
51%
Middle of the Pack
First Student, Inc.
128
107
21
15%
49%
Middle of the Pack
University of Maryland
127
114
13
9%
52%
Middle of the Pack
AdventHealth
127
106
21
15%
49%
Middle of the Pack
General Motors
127
104
23
16%
47%
Middle of the Pack
Caesars Entertainment Corporation
126
97
29
20%
45%
Middle of the Pack
BNY Mellon
126
102
24
17%
47%
Middle of the Pack
Providence
126
110
16
12%
50%
Middle of the Pack
Ryder System
126
89
37
26%
41%
Middle of the Pack
Advocate Health Care
126
110
16
12%
50%
Middle of the Pack
The Home Depot
125
96
29
20%
44%
Middle of the Pack
Mount Sinai Health System
125
114
11
8%
52%
Middle of the Pack
Carnival Corporation
124
106
18
13%
49%
Getting Started
Citi
124
111
13
9%
51%
Getting Started
FedEx Corporation
124
116
8
6%
53%
Getting Started
Metropolitan Transit Authority
124
116
8
6%
53%
Getting Started
AutoZone
124
103
21
15%
47%
Getting Started
Vanderbilt University Medical Center
124
105
19
14%
48%
Getting Started
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
Daimler Truck North America
122
109
13
9%
50%
Getting Started
C.H. Robinson
120
107
13
9%
49%
Getting Started
Wells Fargo
120
104
16
12%
48%
Getting Started
Viega
119
103
16
12%
47%
Getting Started
Unifi
119
96
23
16%
44%
Getting Started
UHS (Universal Health Services, Inc.)
119
103
16
12%
47%
Getting Started
HCA Healthcare
119
106
13
9%
49%
Getting Started
XPO Logistics
119
88
31
22%
40%
Getting Started
Capital One
118
110
8
6%
50%
Getting Started
Old Dominion Freight Line
118
97
21
15%
45%
Getting Started
Delta Air Lines
118
110
8
6%
50%
Getting Started
TaskUs
117
101
16
12%
46%
Getting Started
University of Pennsylvania
116
108
8
6%
50%
Getting Started
Tenet Healthcare
116
96
20
14%
44%
Getting Started
Goldman Sachs
115
107
8
6%
49%
Getting Started
American Airlines
115
102
13
9%
47%
Getting Started
Landry's
115
105
10
7%
48%
Getting Started
CommonSpirit Health
115
102
13
9%
47%
Getting Started
Starbucks
114
106
8
6%
49%
Getting Started
University of Utah
114
90
24
17%
41%
Getting Started
The Cheesecake Factory
113
98
15
11%
45%
Getting Started
Boeing
113
108
5
4%
50%
Getting Started
JPMorgan Chase
113
95
18
13%
44%
Getting Started
Lithia Motors, Inc.
113
92
21
15%
42%
Getting Started
Cracker Barrel
113
97
16
12%
45%
Getting Started
Lockheed Martin
113
93
20
14%
43%
Getting Started
GE Appliances
112
101
11
8%
46%
Getting Started
UST
112
104
8
6%
48%
Getting Started
Schneider National
111
93
18
13%
43%
Getting Started
University Of Cincinnati
111
95
16
12%
44%
Getting Started
Panasonic
111
101
10
7%
46%
Getting Started
Amtrak
111
92
19
14%
42%
Getting Started
GXO Logistics
110
89
21
15%
41%
Getting Started
Tyson Foods
107
86
21
15%
40%
Getting Started
BASIS International Schools
107
96
11
8%
44%
Getting Started
The Home Depot (Canada)
107
91
16
12%
42%
Getting Started
Western Digital Corp
106
88
18
13%
40%
Getting Started
Washington University in St. Louis
106
98
8
6%
45%
Getting Started
S&P Global
106
98
8
6%
45%
Getting Started
Thomas Jefferson University
106
93
13
9%
43%
Getting Started
Chick-Fil-A, Inc.
106
93
13
9%
43%
Getting Started
University of California
106
98
8
6%
45%
Getting Started
Caterpillar Inc.
106
93
13
9%
43%
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
Adventist Health
104
96
8
6%
44%
Getting Started
Northwell Health
104
91
13
9%
42%
Getting Started
The Ohio State University
103
98
5
4%
45%
Getting Started
HMSHost
103
93
10
7%
43%
Getting Started
Bank of America
102
91
11
8%
42%
Getting Started
CommScope
101
93
8
6%
43%
Getting Started
Canadian National Railway (CN Rail)
101
88
13
9%
40%
Getting Started
University of Colorado
100
92
8
6%
42%
Getting Started
Salesforce
99
91
8
6%
42%
Getting Started
Norfolk Southern
99
83
16
12%
38%
Getting Started
Hyatt Hotels Corporation
97
92
5
4%
42%
Getting Started
Allstate
96
96
0
0%
44%
Getting Started
American Express
95
90
5
4%
41%
Getting Started
KFC Corporation
95
82
13
9%
38%
Getting Started
New York University
93
88
5
4%
40%
Getting Started
Flex
92
92
0
0%
42%
Getting Started
Virginia Commonwealth University
92
87
5
4%
40%
Getting Started
CPCK (formerly Canadian Pacific Railway)
91
83
8
6%
38%
Getting Started
Albertsons
89
84
5
4%
39%
Getting Started
Royal Caribbean Cruises
69
66
3
3%
30%
Getting Started