FRONTLINE ROLES

Manufacturing

31
Companies
184
Avg Overall
154
Avg AEC
30
Avg HA
49pp
AEC-HA Gap
6
Leading
19
Middle
6
Getting Started

Manufacturing runs on precision, but that discipline hasn't extended to how manufacturers hire the people who make that precision possible.

A missing machine operator means a line runs short. An unfilled welder means downstream assembly backs up. A packaging associate vacancy during peak season means shipments miss their window.

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

70%

AEC scores average 70% of max, among the highest of all eight industries

0

Zero Manufacturing companies are Getting Started with AEC

What happens after the application 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:

90%

Ninety percent of companies are Getting Started with Hiring Automation

21%

HA averages just 21% of max

49pp

The 49-point AEC-HA gap is the second widest of any industry in this report

The production operator who applied Tuesday night after the second shift is sitting in an unscreened queue Wednesday morning. By Thursday, that candidate may already be interviewing at the plant down the road. According to Aptitude Research survey data, 35% of human time in hiring goes to interview coordination alone. For manufacturing hiring managers who are also shift supervisors, that time comes directly out of hours they should be spending on production, safety, and quality.

Phenom
Audit Key Findings

90%

Ninety percent of Manufacturing companies are Getting Started with Hiring Automation

70%

Seventy percent of AEC max, highest candidate experience of all eight industries

Zero

Zero companies deploy one-way video interviews, voice screening agents, or multi-modal screening

3%

Only three percent of companies deploy a pre-hire assessment inline

3%

Only three percent of companies deploy a pre-hire assessment inline

100%

One hundred percent of leaders deploy motivation-based matching vs. 0% of Getting Started companies

42%

Forty-two percent of companies prompt for credentials inline, but 0% do so with role-specific relevance

6%

Only six percent offer automated interview scheduling inline

Aptitude Research
Survey Insights

Manufacturing sees quality as the driver. However, inline assessment and credential embedding remains limited, especially for supervisory and managerial positions.

58%

Fifty-eight percent say improving quality is a top challenge

46%

Forty-six percent use assessments during screening

31%

Thirty-one percent use simulations

21%

Twenty-one percent describe automation as advanced

What Leaders Do Differently

The six Leading the Pack companies are Thermo Fisher Scientific, Conagra Brands, Exyte, Pentair, BRP, and Clemens Food Group. What separates them is not a single standout tool, but a deliberate combination of capabilities deployed together. Thermo Fisher, the top-ranked company, deploys seven HA capabilities inline: motivation-based matching, screening aligned to the role, inline feedback, role-relevant screening, chatbot screening, credential prompts, and automated interview scheduling. No other company in the dataset deploys more than five.

The gaps between tiers tell the story:

capability
leaders
getting started
gap
Motivation-Based Matching
100%
0%
100%
Chatbot Apply
83%
0%
83%
Chatbot Resume Upload
17%
0%
17%
Screening Aligned to Role
17%
0%
17%
Chatbot Screening
33%
0%
33%
Interview Scheduling Inline
17%
0%
17%
Credential Verification
50%
33%
17%
Industry & Role-Relevant Screening
50%
50%
0%
Inline Feedback
83%
0%
83%

These are not bleeding edge capabilities. Matching, chatbot apply, screening, and credential prompts have been around for years. Leaders have deployed the fundamentals. Getting Started companies have deployed almost none of them. The path forward is not about buying new technology. It is about activating the tools that already exist in the market and connecting them to the apply flow your candidates are already experiencing.

Recommendations by Tier

Getting Started Middle of the Pack

Deploy motivation-based matching.

This is the single highest-impact, lowest-complexity capability in the dataset. Fifty-eight percent of all manufacturing companies already have it. Every Getting Started company lacks it. Matching candidates to roles based on shift preference, location, and interests reduces misapplied candidates and gives hiring managers a pre-filtered starting point instead of an undifferentiated queue.

Enable chatbot-based application with credential capture.

Thirty-five percent of the industry offers chatbot apply. For production operators and warehouse associates applying from a phone during a break or after a shift, a conversational apply flow removes friction and increases completion. Pair it with credential prompts so that certifications (forklift license, safety training, welding certs) are captured at the point of application, not chased down by a recruiter three days later.

Add role-relevant screening questions.

Only three percent of companies screen with questions aligned to the specific role. Even basic screening that covers areas like, shift availability, physical requirements, and relevant machine experience gives a plant manager a reason to prioritize one candidate over another.

Middle of the Pack Leading the Pack

Connect existing capabilities into a single inline flow.

Many Middle companies have chatbot apply or credential prompts but not both, and not connected. A production operator should be able to apply via chatbot, answer three role-specific screening questions, confirm their relevant certifications, and receive a clear next step, all within one session. Today those steps happen across multiple systems and multiple days. Without orchestration and feedback, candidates who don’t hear back are more inclined to join a competitor down the road. 

Add inline pre-hire assessments.

Only one company in the entire industry deploys an inline assessment. For roles where safety awareness, mechanical aptitude, or situational judgment directly predict job performance and retention, an assessment embedded in the apply flow is one of the highest-ROI additions you can make. According to Aptitude Research survey data, 54% of organizations cite quality of hire as their top challenge. Inline assessments surface better data before the interview, not after the bad hire.

Pilot automated interview scheduling for high-volume plants.

Only six percent of the industry offers inline scheduling. For a shift supervisor managing a production line, the difference between a qualified candidate who self-schedules an interview within 24 hours and one who waits five days for a recruiter's email is often the difference between filling the role and reposting it.

Leaders: Stay Ahead

Pilot voice screening agents for second- and third-shift candidates.

Zero companies in Manufacturing deploy voice screening. For candidates who spend their day operating machinery or working a line, a voice agent that can call or receive a call to complete a screening creates a channel that meets them where they are. According to Aptitude Research survey data, 42% of organizations identify screening agents as the most impactful next investment. Manufacturing leaders are positioned to be first movers.

Deploy one-way video interviews for technical roles.

Zero adoption across the industry means the first mover creates separation. For roles requiring demonstrated knowledge, welding technique, equipment familiarity, safety protocol understanding, a brief recorded interview replaces one round of in-person screening and compresses time-to-hire by days. Your competitors are not doing this. That is the opportunity.

Manufacturing Leads on AEC but the Qualification Gap Persists

Overall

184

AEC

70%

HA

21%

AEC-HA GAP

49pp

The Qualification Gap:
AEC Leads, HA Lags Across Manufacturing

80% of Manufacturing Companies Are Middle of the Pack or Leading

Manufacturing
All Industries

What Separates Manufacturing Leaders from Everyone Else

Thermo Fisher Scientific Leads Manufacturing with 43% HA Deployment

Manufacturing AEC Clusters High, While HA Concentrates in Getting Started

Manufacturing Rankings

COMPANY
OVERALL
AEC
HA
HA%
AEC%
TIER
Thermo Fisher Scientific
265
204
61
43%
93%
Leading the Pack
Conagra Brands
252
210
42
29%
96%
Leading the Pack
Exyte
251
208
43
30%
95%
Leading the Pack
Pentair
247
194
53
37%
89%
Leading the Pack
BRP
247
206
41
29%
94%
Leading the Pack
Clemens Food Group
245
207
38
27%
95%
Leading the Pack
Butterball
242
198
44
31%
90%
Middle of the Pack
Kerry Group
240
202
38
27%
92%
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
Philip Morris International (PMI)
230
194
36
25%
89%
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
Restaurant Technologies
217
191
26
18%
87%
Middle of the Pack
Givaudan
207
192
15
9%
87%
Middle of the Pack
Illinois Tool Works (ITW)
195
182
13
9%
83%
Middle of the Pack
Mondelez
163
122
41
29%
56%
Middle of the Pack
Patagonia
160
150
10
7%
69%
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
Ford Motor Company
145
122
23
16%
56%
Middle of the Pack
Johnson & Johnson
135
114
21
15%
52%
Middle of the Pack
Pfizer
132
106
26
18%
49%
Middle of the Pack
Sysco Corporation
131
110
21
15%
50%
Middle of the Pack
General Motors
127
104
23
16%
47%
Middle of the Pack
Boeing
113
108
5
4%
50%
Getting Started
Lockheed Martin
113
93
20
14%
43%
Getting Started
GE Appliances
112
101
11
8%
46%
Getting Started
Panasonic
111
101
10
7%
46%
Getting Started
Tyson Foods
107
86
21
15%
40%
Getting Started
Caterpillar Inc.
106
93
13
9%
43%
Getting Started