The Predictive Index
The Predictive Index provides validated behavioral and cognitive psychometric assessments used to screen, hire, and develop employees and design teams, alongside AI-assisted talent-management software.
§ 01 — Score breakdown
§ Score breakdown
Category scoring
Weighted contribution shown to the right of each bar.
- 01
Article 11 Technical Documentation
Weight 20%50
+10.0
- 02
Bias Audit Transparency
Weight 18%45
+8.1
- 03
FRIA Support
Weight 15%35
+5.3
- 04
Data Governance Disclosure
Weight 15%55
+8.3
- 05
Human Oversight Design
Weight 12%52
+6.2
- 06
Post-Market Monitoring
Weight 12%43
+5.2
- 07
Customer Documentation
Weight 8%60
+4.8
§ 02 — Strongest · weakest
Strongest category
Customer Documentation
Raw score 60 · contributes 4.8 to total.
Weakest category
FRIA Support
Raw score 35 · contributes 5.3 to total.
§ 03 — Cited evidence
§ Evidence
Cited per category
Every score is backed by at least one cited piece of evidence.
§ 04 — Editorial notes
Company overview
The Predictive Index (Predictive Index, LLC) is a talent-optimization company founded in 1955 by Arnold Daniels and headquartered in Westwood, Massachusetts; it celebrated its 70th anniversary in February 2025 and was acquired from the Daniels family by Mike Zani and Daniel Muzquiz in 2014. Its core hiring products are the forced-choice PI Behavioral Assessment and the PI Cognitive Assessment, backed by 400+ criterion-validity studies, ongoing differential item functioning (DIF) fairness analyses, and third-party EFPA psychometric certification. In 2025-2026 PI layered a generative-AI assistant ('Obi') on top of the platform for tasks like interview-feedback synthesis, meeting notes, reviews, and job-ad generation, positioned as a support tool rather than a decision-maker.
Regulatory exposure
Used in hiring, PI's assessments are the kind of scored selection tool that NYC Local Law 144 treats as an AEDT and the EU AI Act (Annex III) treats as high-risk, yet PI publishes none of the regulation-specific artifacts: there is no public NYC LL 144 bias/adverse-impact audit, no EU AI Act Fundamental Rights Impact Assessment or deployer guidance, no AI system/model cards, and no ISO 42001. What PI does publish is strong traditional psychometric evidence (public validity and DIF methodology pages, EFPA third-party certification, and EEOC/Uniform Guidelines compliance guidance) plus a data-security posture (Vanta Trust Center, SOC 2 and GDPR claims, EU-US/UK/Swiss Data Privacy Framework certification, DPA on request). The result is a vendor that is well-documented on assessment science and data governance but leaves AI-Act/LL-144-specific compliance largely to the deploying employer.
Path to a higher score
PI could raise its score most by commissioning and publicly posting a downloadable NYC LL 144-style independent bias/adverse-impact audit (e.g., BABL AI, Warden AI, DCI) and repeating it annually, and by publishing EU AI Act deployer materials including a FRIA template and Article 26 obligation guidance. It should convert its gated technical validity summary and EFPA certificate into public downloads, produce AI/model documentation (system cards, instructions-for-use) for both the assessments and the Obi assistant, pursue ISO 42001, and document concrete human-oversight controls (override, audit logs, per-jurisdiction settings) rather than general 'decision-support' framing.
Conflicts of interest
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