Wonderlic
Wonderlic Select (formerly WonScore) is a pre-employment assessment that combines cognitive ability, personality, and motivation tests to score and rank candidates for job fit.
HireAIScore rates Wonderlic 43 out of 100 (grade F, Substantial gaps) under rubric v1.0, last reviewed June 7, 2026. Wonderlic ranks 36 of 49 vendors rated in Assessment AI, against a category average of 48. That score is drawn from 15 evidence items across 7 rubric criteria for Wonderlic — 9 with a cited source, 6 recording that nothing was located.
§ 01 - Company facts
- Legal name
- Wonderlic, Inc.
- Founded
- 1937
- Headquarters
- United States · US
- Pricing tier
- Mid
- Market side
- Employer-side (AEDT)
- Categories
- AssessmentScreening
- Website
- wonderlic.com
These are company details, not findings. They are editable by a verified representative and carry no weight in the score, which is built only from the cited evidence below.
§ 02 - Score breakdown
§ Score breakdown
Category scoring
Weighted contribution shown to the right of each bar.
- 01
Article 11 Technical Documentation
Weight 20%52
+10.4 · category avg 53
- 02
Bias Audit Transparency
Weight 18%48
+8.6 · category avg 47
- 03
FRIA Support
Weight 15%25
+3.8 · category avg 32
- 04
Data Governance Disclosure
Weight 15%38
+5.7 · category avg 55
- 05
Human Oversight Design
Weight 12%52
+6.2 · category avg 55
- 06
Post-Market Monitoring
Weight 12%33
+4.0 · category avg 39
- 07
Customer Documentation
Weight 8%55
+4.4 · category avg 59
Category avg is the mean raw score on that criterion across the 49 Assessment AI vendors in scope of this rubric, this one included.
§ 03 - Strongest · weakest
Strongest category
Customer Documentation
Raw score 55 · contributes 4.4 to total.
55 against a 59 category average
Weakest category
FRIA Support
Raw score 25 · contributes 3.8 to total.
25 against a 32 category average
§ 04 - Cited evidence
Download diligence record→§ Evidence
Cited per category
Every score is backed by at least one cited piece of evidence.
Evidence ledger
- Items
- 15
- Documentation
- 6
- Public statement
- 3
- Absence
- 6
- With a source URL
- 9 of 15
- Source hostnames
- 1
- Fewest items
- 1
- FRIA Support
These figures measure how thoroughly Wonderlic was reviewed, not how Wonderlic performed — an absence row, recording that nothing was located, is counted like any other item.
Article 11 Technical Documentation
3 items52
- DocumentationCaptured Jun 7, 2026
Legal-matters page anchors assessment validity to Title VII, ADA, ADEA, EEOC, SIOP and APA standards and landmark case law but contains no AI model card or technical documentation.
- Public statementCaptured Jun 7, 2026
Blog states four ethical-AI principles (transparency, bias-mitigation, user privacy, user experience) but links to no published technical documentation or explainability pack.
https://wonderlic.com/blog/product-updates/wonderlic-ai-creating-fairer-more-effective-assessments/
- AbsenceCaptured Jun 7, 2026
No model card, system card, ISO 42001 certification, or formal instructions-for-use document was found on wonderlic.com or its privacy subdomain.
Bias Audit Transparency
2 items48
- Public statementCaptured Jun 7, 2026
Blog reports preliminary internal research showing smaller racial/ethnic and gender score differences for AI free-response items, but cites no independent auditor or downloadable report.
https://wonderlic.com/blog/product-updates/wonderlic-ai-creating-fairer-more-effective-assessments/
- AbsenceCaptured Jun 7, 2026
No NYC Local Law 144 bias-audit summary, named third-party auditor (e.g., BABL AI, DCI, Holistic AI, Warden AI), or downloadable impact-ratio report was found on wonderlic.com.
FRIA Support
1 item25
- AbsenceCaptured Jun 7, 2026
Searches of wonderlic.com, its legal-matters page, and the privacy subdomain found no EU AI Act, Article 27, Fundamental Rights Impact Assessment, or deployer-obligation guidance.
Data Governance Disclosure
2 items38
- DocumentationCaptured Jun 7, 2026
Terms of use commit to 'commercially reasonable efforts' to protect client information but disclose no certifications or data-governance specifics.
- AbsenceCaptured Jun 7, 2026
No SOC 2, ISO 27001, ISO 42001, training-data description, or data-exclusion list was found; the privacy.wonderlic.com policy is JavaScript-rendered and exposed no substantive certification content on fetch.
Human Oversight Design
2 items52
- DocumentationCaptured Jun 7, 2026
Cognitive assessment page frames scores as decision support and shows a sample candidate result with a 'mostly meets requirements' band rather than an auto-reject decision.
- Public statementCaptured Jun 7, 2026
Blog endorses Human-in-the-Loop oversight and regular algorithm audits as best practice, though as general guidance rather than documented product controls.
https://wonderlic.com/blog/employee-selection/how-ai-is-changing-the-future-of-hiring/
Post-Market Monitoring
2 items33
- DocumentationCaptured Jun 7, 2026
Assessment-integrity page describes data-forensics real-time monitoring of score patterns and behavioral logging across the customer base.
- AbsenceCaptured Jun 7, 2026
No public status page, model-update changelog, vulnerability-disclosure or incident channel, or named security contact was found on wonderlic.com.
Customer Documentation
3 items55
- DocumentationCaptured Jun 7, 2026
Full public product pages for Wonderlic Select with cognitive, personality, and motivation sub-pages plus candidate FAQs and downloadable sample feedback reports.
- DocumentationCaptured Jun 7, 2026
Legal-matters page provides employer-facing guidance on job-relatedness and US employment-law validation but no NYC LL 144 or EU AI Act deployer guidance or public DPA.
- AbsenceCaptured Jun 7, 2026
No jurisdiction-specific (NYC LL 144 / EU AI Act) deployer compliance guidance or publicly posted data processing agreement was found.
§ 05 - Editorial notes
Company overview
Wonderlic, Inc. is a privately held assessment publisher founded in 1937 and headquartered in Vernon Hills, Illinois, US, with roughly 51-200 employees. Its flagship product, Wonderlic Select (formerly WonScore), combines a 50-question cognitive ability test with personality and motivation measures to produce a composite job-fit score used to screen and rank candidates; the company also sells Wonderlic Develop and Team Dynamics. Wonderlic markets '85 years of proven science' and grounds its legitimacy in industrial-organizational psychology and EEOC/SIOP validation frameworks rather than in modern AI-governance documentation.
Regulatory exposure
Wonderlic's scored, automated outputs that substantially assist hiring decisions place its core product squarely within the definition of an Automated Employment Decision Tool under NYC Local Law 144 and a 'high-risk' AI system under the EU AI Act for any EU deployer, yet no published NYC LL 144 bias-audit summary, EU AI Act technical documentation, or Fundamental Rights Impact Assessment guidance could be located on its site. Its compliance posture is built around traditional US employment law (Title VII, ADA, ADEA, the Uniform Guidelines) and general validity/adverse-impact science, leaving a gap against newer algorithmic-accountability regimes. The repeal-and-replace of the Colorado AI Act in 2026 narrows but does not eliminate disclosure exposure.
Path to a higher score
To raise its score, Wonderlic should commission and publicly post an annual NYC Local Law 144 bias audit from a named independent auditor (impact ratios by sex and race/ethnicity), publish a model/system card and instructions-for-use for the Select scoring engine, and add EU AI Act deployer guidance plus a FRIA template. Surfacing its security certifications (e.g., SOC 2 / ISO 27001), a data-exclusion and training-data statement, a public DPA, and a status/incident channel would convert its strong internal validity science and 'data forensics' monitoring into verifiable, downloadable evidence.
§ Regulatory frame
What applies to assessment ai.
Assessment is the most-regulated surface in AI hiring. NYC LL 144, EEOC and OFCCP frameworks, Illinois HB 3773, and EU AI Act Annex III §4 all apply, with overlap on bias-audit obligations.
§ Compare
Build any comparison→Wonderlic against its nearest-scoring peers.
In Assessment AI.
§ Others rated in Assessment AI
All assessment vendors→Ranked 36 of 49 by weighted total under rubric v1.0. The ordering is arithmetic on the rubric and carries no view on which tool suits a given hiring process.
- 33Cangrade45F
- 34Equalture44F
- 35Retorio44F
- 36WonderlicThis profile43F
- 37CodeSignal43F
- 38Talview42F
Conflicts of interest
No vendor pays for placement, scoring, or removal. Casework - the consulting firm that operates this directory - provides paid services to some vendors. Any active or recent (within 24 months) commercial relationship is disclosed on the affected vendor profile and the review is reassigned to an independent reviewer. See the full policy on About.
Casework has no commercial relationship with this vendor.