Second-Chance Hiring: The Talent Pool Most TA Teams Have Structurally Excluded
The News
Writing in ERE, Deborah Williamson argues that second-chance hiring — recruiting people with criminal records — belongs in mainstream talent strategy rather than CSR programmes. Approximately 1 in 3 American adults has a criminal record, and individuals leaving prison are unemployed at roughly five times the general population rate. Williamson, drawing on her experience as an intake officer in the Kentucky Court of Justice, contends that screening tools and employer biases push candidates out before skills are assessed. She cites recidivism data showing that access to decent jobs with support is the single biggest factor in reducing reoffending rates, which have fallen from 35% to 28% over the past decade.
Why It Matters
In a market where the Conference Board's own data shows a third of employers can't fill positions, a talent pool of roughly 70 million Americans with records remains largely untapped — not because they lack capability, but because ATS filters and background check workflows are designed to exclude them by default. Williamson's framing is practical, not charitable: people with records are disproportionately hired into waste, food service, construction, manufacturing, and retail — the exact sectors reporting the most acute labour shortages. The systemic issue is that most TA teams have never audited their screening funnel for how it handles non-standard backgrounds.
Taking Action
All action is situated in your corporate context. These are starting points, not prescriptions — choose what fits.
Connect
Who to talk with in your enterprise
Your head of talent acquisition operations and your legal counsel. Ask TA ops: what percentage of candidates are auto-dispositioned at the application stage due to background check flags or employment gaps, and has anyone reviewed whether those dispositions correlate with actual job performance? Your legal counsel needs to weigh in on ban-the-box compliance — but the conversation should be about whether your screening architecture is excluding a viable talent pool by default, not whether you should lower standards.
Inspect
What to take a closer look at
Pull your disposition data for the last 12 months and look at the "failed background check" and "employment gap" categories. How many candidates were eliminated at these stages, and what roles were they applying for? If you're auto-rejecting candidates with records for roles where a record has no bearing on job performance, your screening process is solving a legal risk problem by creating a talent supply problem. Also check whether your ATS has configurable workflows for individualised assessments — most do, but most teams never configure them.
Reflect
What to think about more deeply
If one in three American adults has a criminal record and your ATS auto-disqualifies them before a human ever sees their application, how many qualified candidates has your system already rejected this year — and would you even know?