# What&#39;s the candidate experience and adverse impact of technical screening on diverse applicants before committing to a platform?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Adverse impact isn't a marketing claim; it's a specific, measurable legal standard, typically the EEOC's four-fifths rule, and inside <a class="a a--md" elv="true" href="https://www.g2.com/categories/technical-skills-screening">technical skills screening,</a> only a handful of vendors actually publish data against it rather than asserting fairness in the abstract.</p><ul>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/codility/reviews"><strong>Codility</strong></a><strong>:</strong> The clearest documented case here, its own product description states adverse impact data is tracked at every measured cut score, the EEOC four-fifths threshold is met at every one of those cut scores, and an independent cApStAn linguistic audit checks fairness for non-native English speakers.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/hackerrank-developer-skills-platform/reviews"><strong>HackerRank Developer Skills Platform</strong></a><strong>: </strong>Reviewers describe proctoring built for fairness, though one flagged a real candidate-experience problem, integrity flags sometimes trigger on "no face detected" even when the candidate's face is visible throughout the session, a false-positive pattern that disproportionately burdens honest candidates with unusual lighting or camera setups.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/codesignal/reviews"><strong>CodeSignal</strong></a><strong>:</strong> Candidate reviewers describe the assessment experience as fair and impartial in the moment, but the platform's own reviewer base doesn't surface much detail on adverse impact measurement specifically.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/hirevue/reviews"><strong>HireVue</strong></a><strong>:</strong> The most publicly scrutinized candidate-experience history in this list, having removed facial analysis after 2019-2020 criticism that it disadvantaged candidates with disabilities and non-majority communication styles; it now runs adverse-impact testing as standard practice.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/testgorilla/reviews"><strong>TestGorilla</strong></a><strong>:</strong> Markets itself around reducing CV-based bias through skills-first assessment, though it doesn't publish the same cut-score-level adverse impact data Codility does.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/mercer-mettl-assessments/reviews"><strong>Mercer Mettl Assessments</strong></a><strong>:</strong> Widely used across large-scale, high-volume hiring, where adverse impact risk compounds fastest, but its G2 presence doesn't detail specific bias-audit methodology the way Codility's does.</li>
</ul><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Publishing a fairness claim and publishing the actual cut-score data behind it are two different levels of transparency, and only one vendor here consistently publishes the latter. Has your organization asked a vendor directly for their four-fifths data, or only for a fairness statement?</p>

##### Post Metadata
- Posted at: 29 days ago
- Author title: Writer
- Net upvotes: 1


## Comments
### Comment 1

&lt;p&gt;I’d ask for the actual four-fifths data, not just a fairness statement. A vendor saying its process is unbiased is much less useful than seeing adverse-impact results by cut score and understanding where candidate drop-off or false positives show up.&lt;/p&gt;

##### Comment Metadata
- Posted at: 21 days ago
- Author title: Marketer





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