Policy Impact Analysis - 117/S/629

Bill Overview

Title: GAO Database Modernization Act of 2021

Description: This bill requires federal agencies to report to the Government Accountability Office certain information about agency rules that are made ineffective due to an agency action or other reason.

Sponsors: Sen. Scott, Rick [R-FL]

Target Audience

Population: People employed within or interacting with US federal government agencies

Estimated Size: 2000000

Reasoning

Simulated Interviews

Data Analyst at a Federal Agency (Washington, D.C.)

Age: 29 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 8/20

Statement of Opinion:

  • I think streamlining these reporting processes can improve our efficiency.
  • However, initially it might increase my workload as we'll have to adapt to new systems or protocols.

Wellbeing Over Time (With vs Without Policy)

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

IT Specialist at GAO (Atlanta, Georgia)

Age: 45 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 5/20

Statement of Opinion:

  • This act can be a big step forward in modernizing our data systems.
  • I expect an increase in task loads initially but it should settle with enhanced systems.

Wellbeing Over Time (With vs Without Policy)

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

Legal Advisor in a Government Agency (Chicago, Illinois)

Age: 34 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 7.0 years

Commonness: 6/20

Statement of Opinion:

  • The act should help improve compliance transparency, which is always positive.
  • The initial added responsibility may be stressful but will likely result in better regulatory compliance long-term.

Wellbeing Over Time (With vs Without Policy)

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

HR Manager at a Federal Agency (Dallas, Texas)

Age: 52 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 3.0 years

Commonness: 7/20

Statement of Opinion:

  • I foresee some HR policy changes needed to align with this new act.
  • There might be a bit of initial friction as staff adjusts to new reporting protocols.

Wellbeing Over Time (With vs Without Policy)

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

Policy Analyst (Los Angeles, California)

Age: 40 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 8.0 years

Commonness: 6/20

Statement of Opinion:

  • Policies like these can make the regulatory environment more efficient.
  • An increase in transparency benefits citizens and can enhance trust in governance.

Wellbeing Over Time (With vs Without Policy)

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

Public Liaison Officer (New York, New York)

Age: 31 | Gender: other

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 8/20

Statement of Opinion:

  • Better data handling and reporting can help improve public perception of government.
  • I'll likely have additional work managing public interaction as transparency initiatives increase.

Wellbeing Over Time (With vs Without Policy)

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

Federal Contractor (Seattle, Washington)

Age: 37 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 5/20

Statement of Opinion:

  • This act will likely increase demand for IT consultancy services.
  • The resulting workload might be stressful initially but beneficial career-wise.

Wellbeing Over Time (With vs Without Policy)

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

Government Accountant (Boston, Massachusetts)

Age: 50 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 4.0 years

Commonness: 9/20

Statement of Opinion:

  • Involving more data in our reporting will require initial adaptations in our department.
  • However, it might improve our accuracy and compliance measures long-term.

Wellbeing Over Time (With vs Without Policy)

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

IT Auditor at GAO (Detroit, Michigan)

Age: 48 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 6.0 years

Commonness: 7/20

Statement of Opinion:

  • The modernization act aligns with enhancing accountability, which is crucial.
  • IT audits might become more complex but also more impactful and rewarding.

Wellbeing Over Time (With vs Without Policy)

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

Junior Officer at a Federal Agency (Phoenix, Arizona)

Age: 28 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 10/20

Statement of Opinion:

  • Any change that leads to more order in reporting is welcome though challenging at first.
  • As a junior officer, adapting might be tough but it's a critical learning opportunity.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $10000000 (Low: $8000000, High: $12000000)

Year 2: $7500000 (Low: $6000000, High: $9000000)

Year 3: $7500000 (Low: $6000000, High: $9000000)

Year 5: $8000000 (Low: $6400000, High: $9600000)

Year 10: $8500000 (Low: $6800000, High: $10200000)

Year 100: $8500000 (Low: $6800000, High: $10200000)

Key Considerations