Policy Impact Analysis - 117/S/3423

Bill Overview

Title: Chance to Compete Act of 2022

Description: 2022 This bill modifies examination requirements and other components of the federal hiring process for positions in the competitive service, including prohibiting examinations from consisting solely of a self-assessment from an automated examination, allowing for the use of subject matter experts to develop position-specific assessments, and requiring the creation of an online platform through which agencies may share developed assessments.

Sponsors: Sen. Sinema, Kyrsten [D-AZ]

Target Audience

Population: Individuals applying for and employed in federal competitive service positions

Estimated Size: 2100000

Reasoning

Simulated Interviews

Federal Job Applicant (Washington D.C.)

Age: 30 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 5/20

Statement of Opinion:

  • I find the current application process tedious and often feel like my skills aren't properly evaluated.
  • Having experts assess my application could give me a fairer chance, which is reassuring.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 5
Year 2 7 5
Year 3 8 5
Year 5 8 4
Year 10 8 5
Year 20 6 5

Federal IT Specialist (Denver, CO)

Age: 45 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 8/20

Statement of Opinion:

  • I've seen many capable people get overlooked because the automated systems are too rigid.
  • This new policy might bring in more skilled applicants who can contribute positively.

Wellbeing Over Time (With vs Without Policy)

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

Recent College Graduate (New York, NY)

Age: 25 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 7/20

Statement of Opinion:

  • The federal application process feels like a black hole sometimes.
  • This change could help my resume get noticed and ensure I'm applying for the right roles.

Wellbeing Over Time (With vs Without Policy)

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

Federal Communications Officer (Houston, TX)

Age: 38 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 20.0 years

Commonness: 4/20

Statement of Opinion:

  • Improved assessments could bring more diverse voices to the table, essential for my field.
  • The automated process often misses unique skills; expert evaluations will help.

Wellbeing Over Time (With vs Without Policy)

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

Retired Federal Employee (Phoenix, AZ)

Age: 60 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 10/20

Statement of Opinion:

  • Back in my day, hiring was more personal, now it's all technology.
  • I'm curious to see if this policy stands out from past attempts.

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 6 6
Year 20 6 6

Federal Human Resources Manager (Seattle, WA)

Age: 50 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 6/20

Statement of Opinion:

  • It's always challenging balancing efficiency with thorough assessments.
  • Exciting to see efforts towards modernizing our practices.

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 8 5
Year 10 7 5
Year 20 6 5

Aspiring Federal Research Analyst (San Francisco, CA)

Age: 22 | Gender: other

Wellbeing Before Policy: 4

Duration of Impact: 10.0 years

Commonness: 3/20

Statement of Opinion:

  • The current system is quite intimidating for new graduates like me.
  • A more organized assessment platform would be beneficial.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 4
Year 2 7 4
Year 3 8 4
Year 5 8 4
Year 10 7 4
Year 20 6 4

Federal Environmental Analyst (Chicago, IL)

Age: 33 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 7/20

Statement of Opinion:

  • We often lose out on high potential candidates due to flawed assessments.
  • Using subject matter experts should provide a more accurate evaluation.

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 8 6
Year 10 7 6
Year 20 7 6

Federal Data Analyst (Atlanta, GA)

Age: 29 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 9/20

Statement of Opinion:

  • Current assessments don't fully capture my skills and potential.
  • If this policy works, it could level the playing field for many of us.

Wellbeing Over Time (With vs Without Policy)

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

Federal Procurement Officer (Miami, FL)

Age: 40 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 15.0 years

Commonness: 6/20

Statement of Opinion:

  • I'd rather have fewer applicants but ones who are more suited for the job.
  • This policy might enhance our team's capabilities by better matching skills.

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 8 5
Year 10 8 5
Year 20 7 5

Cost Estimates

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

Year 2: $25000000 (Low: $20000000, High: $30000000)

Year 3: $25000000 (Low: $20000000, High: $30000000)

Year 5: $26000000 (Low: $21000000, High: $32000000)

Year 10: $27000000 (Low: $22000000, High: $34000000)

Year 100: $0 (Low: $0, High: $0)

Key Considerations