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HR verified Verified Outcome TRL 9

Unbiased Automated Hiring Pipeline

domain Client: A major global consumer products company handshake Provider: Pymetrics (Harver) / HireVue schedule Deploy: Q4 2019 (Report)
86 Impact
Enterprise Ready
Evidence Score: 5/10
Strength: High

Executive Summary

ANALYST: COI RESEARCH

To process 1.8 million applications annually while reducing bias, the company automated the early screening funnel. Policies dictate that the AI evaluates candidates based on gamified trait assessments rather than resumes (which contain gender/ethnic signals). The system automatically masks demographic data from hiring managers until the final interview stage.

rate_review Analyst Verdict

"Algorithmic fairness in action. By replacing the 'resume screen' (prone to unconscious bias) with 'trait assessment', the entity diversified its intake. The governance layer is critical here: regular auditing of the algo for adverse impact against protected classes."

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Full Audit Report Available Includes Risk Register, Technical Specs & Compliance Data.

warning The Challenge

Recruiters manually screening resumes is slow and biased (favoring prestigious universities or familiar names). The company wanted to diversify its graduate program but was overwhelmed by volume.

psychology The Solution

Candidates play neuroscience-based games (Pymetrics) to assess traits like risk tolerance or memory. An algorithm matches these traits to successful employee profiles. The system is 'blind' to gender, race, and university. Resumes are only viewed at the final stage.

settings_suggest Technical & Deployment Specs

Integrations
Workday
Deployment Model
SaaS
Data Classification
HR PII
Estimated TCO / ROI
Medium
POC Summary (2016-01-01 to 2017-01-01)

"N/A"

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
Algorithmic Bias High Third-party audit of algorithms; open-sourcing audit frameworks.
Candidate Experience Medium Transparent explanation of the process.

trending_up Impact Trajectory

Audited value realization curve

Processing of 1.8M applications Verified Outcome
Primary KPIReduction in time-to-hire by ~75%
Audit CycleMeasurable increase in hire diversity

policy Compliance & Gov

  • Standards: EEOC, GDPR
  • Maturity (TRL): 9
  • Evidence Score: 5/10
  • Data Class: HR PII

folder_shared Verified Assets

description
Verified Case Study
PDF • Version 1
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Technical Audit
PDF • Audited
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The "Blind Verification" Protocol

How we verified these outcomes for A major global consumer products company without exposing sensitive IP or identities.

Private
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1. Raw Evidence

Audit ID: #PRIV-894
Evidence: Direct SQL Logs
Public
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2. Verified Asset

Outcome: Verified
Ref ID: #COI-894

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