Policy Impact Analysis - 117/HR/7673

Bill Overview

Title: To amend the Tennessee Valley Authority Act of 1933 to require that the compensation plan for Tennessee Valley Authority employees be based on an annual survey of prevailing compensation for similar private industry positions in the United States and Canada, and for other purposes.

Description: This bill specifies that a survey used to develop a compensation plan for employees of the Tennessee Valley Authority (which provides low-cost electricity in seven southeastern states) must collect information from private industry in the United States and Canada. Under current law, the survey must collect information about prevailing compensation for relevant roles in private industry; publicly owned electric utilities; and federal, state, and local governments.

Sponsors: Rep. Cohen, Steve [D-TN-9]

Target Audience

Population: TVA employees

Estimated Size: 10000

Reasoning

Simulated Interviews

Electrical Engineer (Alabama)

Age: 45 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 3/20

Statement of Opinion:

  • I've seen many compensation surveys, and ensuring private industry data inclusion seems fair.
  • Could lead to better alignment with industry standards, supporting retention and satisfaction.

Wellbeing Over Time (With vs Without Policy)

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

Project Manager (Tennessee)

Age: 32 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 4/20

Statement of Opinion:

  • I hope this policy will ensure competitive compensation and make TVA a more attractive employer.

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 9 6
Year 10 9 7
Year 20 9 6

Senior Technician (Kentucky)

Age: 39 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 5.0 years

Commonness: 7/20

Statement of Opinion:

  • I don't think this policy will change much for someone in my position.
  • My focus is job security and technical advancement rather than compensation comparisons.

Wellbeing Over Time (With vs Without Policy)

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

Human Resources Director (North Carolina)

Age: 53 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 2/20

Statement of Opinion:

  • Updating our compensation data sources could strengthen our recruitment efforts.
  • The policy seems beneficial for transparency.

Wellbeing Over Time (With vs Without Policy)

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

Finance Analyst (Mississippi)

Age: 28 | Gender: other

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 6/20

Statement of Opinion:

  • Aligning compensation with private data may alter our budgets but could improve employee satisfaction.

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 6
Year 10 7 6
Year 20 6 6

Power Plant Supervisor (Virginia)

Age: 47 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 10.0 years

Commonness: 5/20

Statement of Opinion:

  • As long as my team's compensation remains stable, I'm not worried about the policy.

Wellbeing Over Time (With vs Without Policy)

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

Environmental Specialist (Georgia)

Age: 50 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 4/20

Statement of Opinion:

  • I'm optimistic that policy-driven compensation changes will alleviate some team stresses.

Wellbeing Over Time (With vs Without Policy)

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

Administrative Assistant (South Carolina)

Age: 40 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 3/20

Statement of Opinion:

  • This policy could catch up our pay with private sectors, but it's important to see actions materialize.

Wellbeing Over Time (With vs Without Policy)

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

Retired TVA Employee (Alabama)

Age: 60 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 0.0 years

Commonness: 8/20

Statement of Opinion:

  • Compensation changes might affect the community I still care about, even in retirement.

Wellbeing Over Time (With vs Without Policy)

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

Public Utility Consultant (Florida)

Age: 35 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 2.0 years

Commonness: 3/20

Statement of Opinion:

  • I'm hopeful this updates data sets that are often outdated in the utility sector.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $5000000 (Low: $3000000, High: $7000000)

Year 2: $5300000 (Low: $3200000, High: $7300000)

Year 3: $5600000 (Low: $3400000, High: $7600000)

Year 5: $6000000 (Low: $3600000, High: $8000000)

Year 10: $6500000 (Low: $3000000, High: $8500000)

Year 100: $10000000 (Low: $5000000, High: $15000000)

Key Considerations