Introduction

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Criteria offers one of the most robust and research-backed assessment platforms we've tested. It combines scientific validity, strong job-role matching, and a breadth of test types that make it ideal for organizations looking to reduce bias and improve hiring accuracy at scale.
Ratings
Ease of Use
Best For
Key Differentiator
Price
Free Trial
PROS
- Scientifically validated assessments built by in-house PhDs across cognitive, personality, EI, and risk dimensions
- Unlimited usage across Criteria’s full test library, included in every subscription
- Role-based “batteries” auto-recommended by job title, with customization options
- Mobile-friendly, candidate-first experience improves assessment completion rates
- Optional AI-powered video interview scoring and proctoring for additional insights and integrity
- Seamless integrations with 60+ ATS platforms and open API access
CONS
- No public pricing; must speak with sales to receive a tailored quote
- Add-ons like Interview Intelligence and proctoring may increase the total cost
- The Test Maker tool requires onboarding time to fully leverage for custom assessments
- Feature depth may exceed the needs of small or low-volume hiring teams

VidCruiter

VidCruiter

CodinGame

CodinGame

SuccessFinder

SuccessFinder

Criteria

Criteria

HireVue

HireVue

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Criteria is more than a traditional pre-employment testing vendor—it’s a full-scale candidate evaluation platform rooted in organizational science. From our live demo with their product team, we saw how the platform streamlines hiring decisions with highly customizable, scientifically validated assessments.
What stood out most during testing was Criteria’s ability to automatically generate role-specific recommendations using Bureau of Labor Statistics data. For instance, sales roles are typically matched with personality and cognitive tests, while operations roles receive risk and attention assessments. Customers can use these pre-configured batteries or customize their own from a broad library that includes cognitive aptitude, personality, emotional intelligence, risk tolerance, and game-based mechanics.
Unlike other vendors that restrict usage by test type or volume, Criteria’s pricing model includes unlimited use of all assessments, enabling organizations to scale without worrying about overages. The platform also includes Test Maker, a self-service tool that allows teams to create custom assessments from scratch.
Beyond assessments, Criteria supports asynchronous video interviews with built-in AI scoring, powered by a model trained on thousands of manually labeled transcripts by their in-house PhD team. The AI evaluates only the text of the response to avoid visual or audio bias, and scoring is benchmarked against structured rating guides that evaluators can customize. While AI scoring is optional, it provides a scalable way to surface top candidates without replacing human judgment.
The platform is mobile-friendly, accessible, and supports a smooth candidate experience. Optional proctoring features are available for high-stakes roles and include real-time monitoring tools that discourage cheating without being overly intrusive.
Overall, Criteria is a strong choice for teams seeking an evidence-based, bias-conscious hiring solution that scales across job types and hiring volumes. While pricing is not transparent and some features are modular, the platform’s flexibility and scientific rigor set it apart from other assessment vendors.

Criteria is used by over 3,000 companies, including Gucci, eBay, J.G. Wentworth, and U-Haul.
Criteria offers tailored pricing based on company size, usage volume, and platform needs. Every subscription includes:
- Unlimited access to all assessments
- Role-based recommendations and customization tools
- Integration support and onboarding assistance
Optional features like proctoring and Interview Intelligence may be priced separately. A free trial is available via their website.
Criteria is best for mid-sized to enterprise companies that want to scale structured, science-based hiring while minimizing bias and maximizing predictive accuracy across diverse roles.