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.
AssessmentScreening

HireAIScore rates Wonderlic 43 out of 100 (grade F, Substantial gaps) under rubric v1.0, last reviewed June 7, 2026. Wonderlic ranks 53 of 82 vendors rated in Assessment AI, against a category average of 46. 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.

Score breakdown

Wonderlic, criterion by criterion

Each rubric criterion is scored out of 100 on the cited evidence, then weighted into the total.

Weighted contribution shown to the right of each bar.

  1. Article 11 Technical Documentation

    Weight 20% · avg 50

    52

    +10.4

  2. Bias Audit Transparency

    Weight 18% · avg 41

    48

    +8.6

  3. FRIA Support

    Weight 15% · avg 31

    25

    +3.8

  4. Data Governance Disclosure

    Weight 15% · avg 53

    38

    +5.7

  5. Human Oversight Design

    Weight 12% · avg 55

    52

    +6.2

  6. Post-Market Monitoring

    Weight 12% · avg 38

    33

    +4.0

  7. Customer Documentation

    Weight 8% · avg 58

    55

    +4.4

Total weighted score

43.1(rounded to 43 for display)

Category avg is the mean raw score on that criterion across the 82 Assessment AI vendors in scope of this rubric, this one included.

Strongest criterion

Customer Documentation

55raw / 100

Contributes 4.4 to the total. 55 against a 58 category average.

Weakest criterion

FRIA Support

25raw / 100

Contributes 3.8 to the total. 25 against a 31 category average.

Cited evidence

The evidence behind the score

Every score is backed by at least one cited piece of evidence. Open a criterion to see what was found, when, and where.

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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

Bias Audit Transparency

2 items48

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.

    Have a URL that disputes this?

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.

    https://wonderlic.com/terms-of-use-agreement/

  • 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.

    Have a URL that disputes this?

Human Oversight Design

2 items52

Post-Market Monitoring

2 items33

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.

    https://wonderlic.com/select-hiring-assessment/

  • 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.

    https://wonderlic.com/legal-matters/

  • AbsenceCaptured Jun 7, 2026

    No jurisdiction-specific (NYC LL 144 / EU AI Act) deployer compliance guidance or publicly posted data processing agreement was found.

    Have a URL that disputes this?

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.

Keep reading

All assessment vendorsHow this score is builtAnnex IV section-by-section: what AI hiring vendors must documentWhat makes a defensible NYC LL 144 bias audit

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Ranking

Others rated in Assessment AI

Ranked 53 of 82 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.

  1. #50Prevue HR44F
  2. #51Retorio44F
  3. #52HighMatch43F
  4. #53WonderlicThis profile43F
  5. #54CodeSignal43F
  6. #55Talview42F
All assessment vendors

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.