Black jobseekers report biased applicant tracking systems, lengthy hiring processes, and entry-level postings requiring years of experience¶
Claim · All claims
Evidence · 1 study · qualitativer3·q2
Currency · newest study 2024 · not yet checked against its sources · not reviewed by a person · recheck by 2029: baselines and conditions change
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? Participants reported discriminatory hiring experiences including biased ATS screening, four to five interview rounds without guarantees, and entry-level job descriptions requiring years of experience. → Bria Carter 2024
Evidence¶
Bria Carter 2024¶
Bria Carter, Britney Jacobs, Zohal Shah, Chioma Aso-Hernandez. (2024). Lift Every Voice in Tech: Co-Designed Recommendations to Support Black Workers and Learners Seeking to Enter and Advance in Technology Industry Career Pathways. Digital Promise. https://digitalpromise.dspacedirect.org/items/5dcf2bc8-f40c-4942-96a4-c4a5bda965e3 doi:10.51388/20.500.12265/219
q2 · i? · qualitative · r3
Thematic analysis of worker and learner interviews, surveys, and design sessions. Participants described "biasedATS (or Applicant tracking system) disparities, where a resume sent through an ATS may get rejected" while direct recruiter emails succeeded, and mismatches between entry-level labels and experience requirements.
"Participants also talked about how hiring processes can be extremely lengthy, sometimesinvolving four to five interviews with no guarantee of getting a job."
Discussion¶
Related Claims¶
- Removing degree requirements and centering skills-based hiring widens employers' talent pools and Black job seekers' access to technology careers — related
- Many applicants failed to complete post-application admission requirements, with Black and Latino students least likely to complete them — related
- Generative AI systems carry strong potential for introduced and inherited bias — related
- African American teacher candidates are less likely to receive job offers than white candidates despite similar or better qualifications. — related
- AI hiring tools have demonstrated biases disproportionately affecting women, individuals with disabilities, and underrepresented ethnic and racial groups — a broader claim this one bears on
- Financial hardship disproportionately impacts residents of color, and financial barriers are the biggest recruitment challenge — related
- When at least two women and two candidates of color are in the finalist pool, the odds of hiring a woman or a candidate of color are reported to be 79 and 194 times greater — related
- Early educators face financial, academic, and structural barriers to college enrollment and degree completion, disproportionately affecting students of color — related
- Black women and participants with intersecting identities report being overlooked, facing microaggressions, and experiencing imposter syndrome in tech spaces — related
- Worker and jobseeker input on skills-first pathway design and implementation is far too often limited or missing — related
- Spelling errors damage job applicants' prospects and recruiters' impressions of professional capabilities — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
tech-hiring-process-barriers-ats-experience-mismatch |
title |
Black jobseekers report biased applicant tracking systems, lengthy hiring processes, and entry-level postings requiring years of experience |
description |
Black jobseekers report biased applicant tracking systems, lengthy hiring processes, and entry-level postings requiring years of experience |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2024 |
recheck_by |
2029 |
generated |
by process:wiki-ingest on 2026-10-09 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — bria-carter-2024 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.