How much are inaccurate job descriptions costing you?

1 Baseline
2 Compliance
3 Pay Equity
4 Turnover
5 Time Savings

Your organization

These numbers scale every result that follows.

Number of employees

Number of unique jobs in inventory

Average annual salary

% of job descriptions that are outdated or inaccurate

Default 40% — avoids assuming every JD in your inventory is broken.

Number of roles hired for per year

Compliance & legal risk

Existing formula, now scaled by your % of inaccurate JDs.

Cost to defend an EEO / ADA / FLSA lawsuit

$0–$50k low · $75k avg · $125k high

Risk of a compliance lawsuit

Inaccurate JDs raise risk 1–12%/year

Pay equity & compensation accuracy

New section — ties directly to comp benchmarking and job leveling.

% of roles estimated to be mis-leveled due to inaccurate JDs

Average pay correction needed per mis-leveled role

Default 8% of salary — industry-cited range for pay compression/leveling corrections

Cost to remediate a pay equity finding

Audit, legal, retroactive pay — $15k–$40k range, default uses midpoint

Likelihood of an equity finding this year

Turnover

Existing quit-driven cost, plus a new time-to-fill cost.

Current voluntary turnover rate

iMercer benchmark: 17%

Cost of turnover — multiple of salary

Jobvite-cited range

Expected turnover reduction from accurate JDs

ASU study average: 8%

Extra days-to-fill caused by unclear JDs

Default 5–10 days

Time savings

Existing section, now treated as a recurring annual cost.

Time saved per JD (minutes)

Hourly labor cost to update a JD

JDs touched/updated per year (× per job)

Estimated total annual savings

$0

Compliance & legal risk $0
Pay equity & comp accuracy $0
Turnover $0
Time-to-fill / vacancy $0
Time saved updating JDs $0

Regain control of
your job data

The last thing you need to worry about is inaccurate & outdated job descriptions. So don’t.