Built for measurable diversity hiring
Diversity hiring done well is a measurement problem first. You can’t improve what you don’t measure. The Diversity Hiring snapshot is structured around measurement — and around the workflow steps that the research says reduce bias.
- Self-identification (opt-in) — candidates choose whether to self-identify across multiple dimensions. Their record stays unblinded to recruiters; aggregated data feeds the equity dashboard.
- Blind initial screen — for the first pass, recruiters see anonymized candidate profiles (name, photo, school, prior employer hidden). After the screen, identifying info appears.
- Structured interview scorecards — every interviewer gets the same rubric for the role. They score independently before the debrief. The system flags wide score variance for calibration.
- Calibration session log — hiring committees log calibration discussions. Over time, the system surfaces which interviewers consistently calibrate high or low — a signal for training.
- Pipeline-equity dashboard — pass-through rates by stage, by demographic. If a demographic drops disproportionately at one stage, the DEI lead is notified.
Where bias gets reduced
Bias in hiring isn’t usually overt — it’s structural. It’s the slight pause when a name “sounds like” something. It’s the gut-feel verdict that gets rationalized after the fact. It’s the calibration session where one loud voice anchors the group.
The snapshot interrupts each of those moments. Anonymized initial screens neutralize name-bias. Independent scoring before debriefs prevents anchoring. Calibration logs make bias patterns visible over time so they can be trained on.
Compliance for diversity programs
The snapshot ships with EEO-1 reportable categories, OFCCP self-identification fields (for federal contractors), and per-role applicant flow logs — the kind a federal compliance audit looks for. Data is retained per your DEI program’s retention policy.
Self-identification is treated with care: it’s opt-in, it’s stored encrypted-at-rest, it’s not visible on candidate records, and candidates can revoke or update their data any time.
What this typically replaces
For diversity hiring teams, this commonly replaces ad-hoc spreadsheets tracking demographics across different ATS exports — a brittle setup that’s hard to audit and hard to act on. The snapshot makes the data infrastructure for diversity hiring first-class: clean inputs, structured measurement, actionable reports.
This works as a layer on top of an existing ATS (in-house teams) or as the primary candidate database (agencies running diversity-focused searches).