Policy Impact Analysis - 117/S/5333

Bill Overview

Title: Advancing Skills-Based Hiring Act of 2022

Description: This bill allows employers to submit to the Equal Employment Opportunity Commission (EEOC) evidence that a competency-based skills test or other employment selection process is consistent with lawful employment practices. The EEOC must review each submission and determine whether the procedure is job-related and consistent with a business necessity, or provide technical assistance to the employer about potential changes that would allow the EEOC to make such a determination. Such a determination may be used by the employer to satisfy the burden of proof under the disparate impact analysis with respect to a claim of an unlawful discrimination.

Sponsors: Sen. Braun, Mike [R-IN]

Target Audience

Population: Working-age individuals who are part of or will be part of the workforce

Estimated Size: 165000000

Reasoning

Simulated Interviews

Software Developer (Austin, TX)

Age: 24 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 10/20

Statement of Opinion:

  • I think skills-based hiring will benefit people like me who gained skills through alternative education.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 7
Year 2 8 7
Year 3 8 7
Year 5 9 7
Year 10 8 6
Year 20 7 6

HR Manager (New York, NY)

Age: 37 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 10.0 years

Commonness: 8/20

Statement of Opinion:

  • This policy will help us defend our hiring practices and prevent discrimination claims.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 8
Year 2 8 8
Year 3 9 8
Year 5 9 8
Year 10 9 8
Year 20 8 8

Freelance Graphic Designer (San Francisco, CA)

Age: 29 | Gender: other

Wellbeing Before Policy: 6

Duration of Impact: 3.0 years

Commonness: 5/20

Statement of Opinion:

  • Skills-based hiring could open up more opportunities where my portfolio can stand out.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 7 6
Year 3 8 6
Year 5 7 6
Year 10 7 6
Year 20 6 5

Operations Manager (Chicago, IL)

Age: 52 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 6/20

Statement of Opinion:

  • I'm worried that a focus on skills could devalue long-term experience.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 5 5
Year 2 5 5
Year 3 5 5
Year 5 5 5
Year 10 5 5
Year 20 4 5

Automotive Engineer (Detroit, MI)

Age: 44 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 0.0 years

Commonness: 7/20

Statement of Opinion:

  • While skills matter, in my field, educational credentials are crucial for innovation.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 7
Year 2 7 7
Year 3 7 7
Year 5 7 7
Year 10 7 7
Year 20 6 6

Barista (Miami, FL)

Age: 32 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 9/20

Statement of Opinion:

  • I see this policy as my chance to be evaluated on what I can do, not just my formal education background.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 8 6
Year 3 9 6
Year 5 9 6
Year 10 9 6
Year 20 8 5

Entrepreneur (Los Angeles, CA)

Age: 28 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 20.0 years

Commonness: 5/20

Statement of Opinion:

  • This validates what we've been doing—focusing on skills is the future of hiring.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 9 8
Year 2 9 8
Year 3 9 8
Year 5 9 8
Year 10 9 8
Year 20 8 7

Retired (Phoenix, AZ)

Age: 60 | Gender: male

Wellbeing Before Policy: 4

Duration of Impact: 0.0 years

Commonness: 10/20

Statement of Opinion:

  • I'm not directly affected by job changes, but I can see how this helps younger generations.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 4 4
Year 2 4 4
Year 3 4 4
Year 5 4 4
Year 10 4 4
Year 20 3 3

IT Consultant (Seattle, WA)

Age: 48 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 15.0 years

Commonness: 5/20

Statement of Opinion:

  • Policies like this are crucial as they push for the constant reskilling necessary in IT.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 7
Year 2 8 7
Year 3 9 7
Year 5 9 7
Year 10 9 7
Year 20 8 6

University Professor (Boston, MA)

Age: 41 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 8.0 years

Commonness: 6/20

Statement of Opinion:

  • I worry this trend diminishes the value of broad-based education that develops critical thinking.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 6
Year 2 6 6
Year 3 6 6
Year 5 6 6
Year 10 6 6
Year 20 5 6

Cost Estimates

Year 1: $25000000 (Low: $20000000, High: $30000000)

Year 2: $26000000 (Low: $21000000, High: $31000000)

Year 3: $27000000 (Low: $22000000, High: $32000000)

Year 5: $29000000 (Low: $24000000, High: $34000000)

Year 10: $32000000 (Low: $27000000, High: $37000000)

Year 100: $50000000 (Low: $45000000, High: $55000000)

Key Considerations