Hogan Assessments

Hogan Assessments provides science-based personality assessments - chiefly the Hogan Personality Inventory (HPI), Hogan Development Survey (HDS), and Motives, Values, Preferences Inventory (MVPI) - used to predict workplace performance for employee selection and development.

HireAIScore rates Hogan Assessments 47 out of 100 (grade F, Substantial gaps) under rubric v1.0, last reviewed July 17, 2026. Hogan Assessments ranks 33 of 82 vendors rated in Assessment AI, against a category average of 46. That score is drawn from 26 evidence items across 7 rubric criteria for Hogan Assessments — 20 with a cited source, 6 recording that nothing was located.

Score breakdown

Hogan Assessments, 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

    50

    +10.0

  2. Bias Audit Transparency

    Weight 18% · avg 41

    44

    +7.9

  3. FRIA Support

    Weight 15% · avg 31

    36

    +5.4

  4. Data Governance Disclosure

    Weight 15% · avg 53

    52

    +7.8

  5. Human Oversight Design

    Weight 12% · avg 55

    52

    +6.2

  6. Post-Market Monitoring

    Weight 12% · avg 38

    40

    +4.8

  7. Customer Documentation

    Weight 8% · avg 58

    62

    +5.0

Total weighted score

47.1(rounded to 47 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

62raw / 100

Contributes 5.0 to the total. 62 against a 58 category average.

Weakest criterion

FRIA Support

36raw / 100

Contributes 5.4 to the total. 36 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.

Download diligence record

Evidence ledger

Items
26
Documentation
16
Public statement
4
Absence
6
With a source URL
20 of 26
Source hostnames
1
Fewest items
3
FRIA Support

These figures measure how thoroughly Hogan Assessments was reviewed, not how Hogan Assessments performed — an absence row, recording that nothing was located, is counted like any other item.

Article 11 Technical Documentation

4 items
50

Bias Audit Transparency

4 items
44

FRIA Support

3 items
36

Data Governance Disclosure

4 items
52

Human Oversight Design

3 items
52

Post-Market Monitoring

4 items
40

Customer Documentation

4 items
62

Editorial notes

Company overview

Hogan Assessment Systems (dba Hogan Assessments) is a privately held, independent talent-assessment company founded in 1987 by Drs. Robert and Joyce Hogan and headquartered in Tulsa, Oklahoma. Its core products are the HPI (normal, 'bright-side' personality), HDS (derailing, 'dark-side' tendencies), and MVPI (motives, values, preferences), alongside the HBRI cognitive-reasoning inventory, delivered through a network of authorized distributors and partners. The company reports having assessed more than 14 million people, offers assessments in 51 languages across 66 markets, and is used by roughly 75% of Fortune 500 firms. It is grounded in decades of industrial-organizational psychology research, with a large validity archive and staff who publish in peer-reviewed journals.

Regulatory exposure

As a personality assessment used in selection and development, Hogan sits at the heart of employment-assessment regulation, yet it takes the unusual public position that its core tools fall outside the modern automated-employment-decision-tool frame. It published a statement arguing NYC Local Law 144 does not apply because humans (not computers) identify inputs and weights and because the tools are meant to be 'one consideration among many'- so no LL 144 bias audit exists. Under the EU AI Act, assessments used for selection are Annex III high-risk when they qualify as AI systems; Hogan's fixed-key psychometric scoring arguably sits on the boundary, but a separate 'AI at Hogan' page discloses it is exploring machine-learning scoring and uses NLP in backend processes, a tension with its 'we don't use AI' framing. It carries Illinois/Colorado exposure through US enterprise clients, and rests on strong traditional footings (UGESP, SIOP, APA standards, SOC 2, EU-US Data Privacy Framework) rather than AI-Act-shaped documentation.

Path to a higher score

The highest-leverage move is to reconcile the AI-scope question openly: publish an AI-system determination and, wherever ML scoring ships, an Annex IV-style model card, instructions-for-use, and explainability statement rather than a single principles page. Commission and openly publish an independent, dated bias audit (or per-year adverse-impact impact-ratio tables) instead of providing adverse-impact analyses privately to clients, and refresh the 2014 self-authored material. Add explicit EU AI Act deployer guidance and an Article 27 FRIA template, offer a self-service DPA, pursue ISO 42001/27001, and publish a data-governance and data-exclusion statement. For post-market monitoring, stand up a public status page, security.txt, and model-update changelog, and document concrete in-product oversight controls (override, audit logs, per-jurisdiction settings) beyond professional-practice guidance.

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.

Ranking

Others rated in Assessment AI

Ranked 33 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. #30Saville Assessment48F
  2. #31Thomas International48F
  3. #32Crosschq47F
  4. #33Hogan AssessmentsThis profile47F
  5. #34Gloat47F
  6. #35Interviewer.AI47F
All assessment vendors

Conflicts of interest

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Casework has no commercial relationship with this vendor.