Knowledge ROLES

Manufacturing

31
Companies
183
Avg Overall
155
Avg AEC
29
Avg HA
50pp
AEC-HA Gap
6
Leading
19
Middle
6
Getting Started

Manufacturing runs on precision, but that discipline hasn't extended to how manufacturers develop and advance the supervisors, managers, and specialists who lead that charge.

A production manager vacancy means no one is accountable for line performance. An unfilled quality supervisor role means compliance risk accumulates. An open plant manager position during a capacity ramp means the ramp stalls.

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

70%

AEC averages 70% of max, the highest of any industry in the report

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:

97%

Ninety-seven percent of companies are Getting Started with Hiring Automation

20%

HA averages just 20% of max

50pp

The 50-point gap in manufacturing means plant manager and supervisor situational judgment gets deferred to hiring teams instead of inline automation

According to Aptitude Research survey data, 35% of human time in hiring goes to interview coordination alone. For manufacturing HR teams managing both frontline volume and knowledge-role complexity simultaneously, that time cost is compounded.

Phenom
Audit Key Findings

97%

Ninety-seven percent of Manufacturing companies are Getting Started with Hiring Automation for knowledge roles

70%

At 70% of AEC max, manufacturing leads at connecting candidates to the right job

Zero

Zero companies deploy voice screening agents or multi-modal screening

3%

Only one of 31 companies (three percent) deploys a pre-hire assessment inline

83%

Eighty-three percent of leaders deploy motivation-based matching vs. zero percent of Getting Started companies

35%

Thirty-five percent of companies prompt for credentials inline

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 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

Leading the Pack companies are deploying motivation-based matching, role-relevant screening, chatbot apply, and credential prompts together.

The pattern is clear: Leaders are activating capabilities that already exist in their talent tech stack and are connecting them to the apply flow. Getting Started companies have built strong AEC experiences but left the qualification window entirely manual. With ninety-seven percent of manufacturing organizations still Getting Started on HA, the opportunity is vast for those looking to orchestrate qualification workflows inline. Getting Started companies can learn from the moves leaders are starting to make. Credential verification, industry-specific assessments, screening via chatbot, and inline interview scheduling are where the they are shifting their gaze.

The gaps between tiers tell the story:

capability
leaders
getting started
gap
Motivation-Based Matching
83%
0%
83%
Chatbot Apply
83%
0%
83%
Screening Aligned to Role
17%
0%
17%
Industry-Specific Assessment
17%
0%
17%
Chatbot Screening
17%
0%
17%
Interview Scheduling Inline
17%
0%
17%
Credential Verification
17%
33%
16%
Industry & Role-Relevant Screening
50%
50%
0%
Inline Feedback
100%
0%
100%

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. Matching production supervisors and quality managers to roles based on functional interest and career trajectory reduces misapplied applicants and surfaces intent earlier in the process.

Enable credential capture inline.

For knowledge roles in manufacturing, credentials matter: Six Sigma certifications, PE licenses, food safety manager credentials, ISO audit qualifications. Prompting for these at the point of application means a recruiter receives a qualified candidate packet instead of chasing documentation for two weeks after the apply.

Add role-specific screening questions.

Only three percent of companies screen with questions aligned to the knowledge role being filled. Even three targeted questions, supervisory experience, shift coverage expectations, relevant domain background, give a hiring manager a signal-to-noise advantage before the first phone call.

Middle of the Pack Leading the Pack

Connect capabilities into a single inline flow.

Many Middle companies have a chatbot or a credential prompt – but not both, and not connected to the same workflow. A production supervisor candidate should be able to apply via chatbot, confirm their relevant certifications, answer role-specific screening questions, and receive a next-step confirmation within one session. Today those steps are fragmented across days and systems.

Add inline pre-hire assessments for managerial roles.

Only one company in the dataset deploys an inline assessment for knowledge roles. For positions where leadership competency, technical judgment, and situational decision-making directly predict performance, an inline assessment embedded after screening is the fastest path to better hiring signal. According to Aptitude Research survey data, 54% of organizations cite quality of hire as their top challenge.

Pilot automated interview scheduling.

Only six percent of the industry offers inline scheduling for knowledge roles. For candidates who are currently employed and evaluating multiple offers simultaneously, a self-scheduling option that presents availability inline of the application is a material competitive differentiator.

Leaders: Stay Ahead

Pilot voice screening agents for passive knowledge candidates.

Zero companies deploy voice screening for knowledge roles in manufacturing. For a quality manager or operations supervisor who is passively considering a move, an AI voice agent that can initiate a brief qualifying conversation after hours meets the candidate where they are without requiring them to navigate an online application during the workday.

Deploy one-way video interviews for leadership roles.

Zero adoption means first-mover advantage is unclaimed. For roles requiring demonstrated communication capability, technical articulation, or cultural fit assessment, a brief recorded video response replaces one live screening round and compresses time-to-offer by days. Your competitors are not doing this.

Manufacturing Ranks #2 but Has the Widest Qualification Gap in the Audit

Overall

183

AEC

70%

HA

20%

AEC-HA GAP

50pp

The Qualification Gap: Best-in-Class AEC, Lagging HA Across Manufacturing

Manufacturing Produces the Most Leaders (Six) of Any Industry for Knowledge Worker Roles

Manufacturing
All Industries

What Separates Manufacturing Leaders from Everyone Else

Kerry Group Leads Manufacturing with 37% HA Deployment

Manufacturing AEC Peaks Near the Top While HA Clusters at the Bottom

Manufacturing Rankings

COMPANY
OVERALL
AEC
HA
HA%
AEC%
TIER
Kerry Group
255
202
53
37%
92%
Leading the Pack
Thermo Fisher Scientific
253
204
49
34%
93%
Leading the Pack
Conagra Brands
252
210
42
29%
95%
Leading the Pack
Exyte
251
208
43
30%
95%
Leading the Pack
Clemens Food Group
245
207
38
26%
94%
Leading the Pack
McCain Foods
245
208
37
26%
95%
Leading the Pack
Butterball
240
196
44
30%
89%
Middle of the Pack
BRP
239
198
41
28%
90%
Middle of the Pack
Thales
235
197
38
26%
90%
Middle of the Pack
Philip Morris International (PMI)
234
198
36
25%
90%
Middle of the Pack
Pentair
232
194
38
26%
88%
Middle of the Pack
Oshkosh Corporation
224
180
44
30%
82%
Middle of the Pack
Qnity Electronics, Inc.
222
184
38
26%
84%
Middle of the Pack
Givaudan
219
204
15
10%
93%
Middle of the Pack
Restaurant Technologies
217
191
26
18%
87%
Middle of the Pack
Illinois Tool Works (ITW)
195
182
13
9%
83%
Middle of the Pack
Patagonia
160
150
10
7%
68%
Middle of the Pack
WK Kellogg
153
114
39
27%
52%
Middle of the Pack
Mondelez
149
128
21
14%
58%
Middle of the Pack
Ford Motor Company
145
122
23
16%
55%
Middle of the Pack
Johnson & Johnson
135
114
21
14%
52%
Middle of the Pack
Pfizer
132
106
26
18%
48%
Middle of the Pack
Pepsico
128
101
27
19%
46%
Middle of the Pack
General Motors
127
104
23
16%
47%
Middle of the Pack
Sysco Corporation
126
110
16
11%
50%
Middle of the Pack
Boeing
118
108
10
7%
49%
Getting Started
Lockheed Martin
113
93
20
14%
42%
Getting Started
GE Appliances
112
101
11
8%
46%
Getting Started
Panasonic
111
101
10
7%
46%
Getting Started
Tyson Foods
107
86
21
14%
39%
Getting Started
Caterpillar Inc.
106
93
13
9%
42%
Getting Started