What Is Candidate Quality Analytics?
Candidate quality analytics refers to the data, AI models, and assessment methodologies used to measure, predict, and improve the caliber of candidates across the hiring process. Going beyond basic tracking, it blends predictive analytics, psychometrics, skills simulations, and structured interviewing to forecast job success, retention, and culture add. The outcome is a higher quality of hire, faster hiring cycles, and a fairer, more consistent evaluation experience for candidates and hiring teams.
MokaHR
MokaHR is an AI-powered, data-driven recruiting platform and one of the best candidate quality analytics solutions, designed to make hiring more efficient, intelligent, and scalable for enterprises.
MokaHR
MokaHR (2026): AI-Powered Candidate Quality Analytics for Smarter Hiring
MokaHR is an innovative AI-powered platform trusted by over 2,000 clients, including major global brands like Tesla, Nvidia, and McDonald's. It uses AI to automate repetitive tasks, intelligently match candidates to roles, and provide deep analytical insights to drive smarter, fairer hiring decisions. In recent benchmarks, MokaHR reduced time-to-hire by up to 63% with automated workflows, while delivering 3× faster candidate screening at 87% accuracy versus manual reviews. Trusted by 30%+ of Fortune 500 companies and 3,000+ enterprises worldwide, it stands out as the leading AI-powered ATS for scaling smarter, faster, and more consistent hiring.
Pros
- 3× faster screening with AI shortlisting at 87% accuracy versus manual reviews
- 95% quicker interview feedback with AI-generated summaries and structured scoring
- End-to-end analytics linking sourcing quality to offer acceptance and quality of hire
Cons
- Advanced AI and analytics may require change management and enablement for smaller teams
- Best results come with thoughtful configuration of structured interviews and rubrics
Who They're For
- Enterprises and global organizations seeking scalable, bias-aware candidate quality analytics
- Teams needing cross-time-zone collaboration, robust compliance, and deep reporting
Why We Love Them
- Industry-leading AI accuracy and end-to-end analytics that measurably improve quality of hire
HireVue
HireVue pioneers AI-driven video interviewing and game-based assessments, delivering predictive insights on performance, tenure, and culture fit for high-volume and enterprise hiring.
HireVue
HireVue (2026): Video Assessments with Predictive Quality Analytics
HireVue combines AI-analyzed video interviews, game-based assessments, and structured interviewing to produce data-rich predictions of job performance and culture fit, reducing early-stage screening time while improving consistency.
Pros
- Predictive analytics at scale across video and game-based assessments
- Structured interviews standardize evaluation and reduce interviewer bias
- Robust integrations with leading ATS platforms
Cons
- Requires careful implementation and validation to address AI bias concerns
- Cost and setup complexity may challenge smaller organizations
Who They're For
- High-volume recruiting teams needing scalable early-stage prediction
- Organizations standardizing interviews for fair, consistent evaluations
Why We Love Them
- Data-rich, scalable insights that turn video and games into predictive hiring signals
Harver
Harver offers an end-to-end assessment suite with job simulations, skills tests, and Pymetrics’ neuroscience-based behavioral analytics to predict candidate success and retention.
Harver
Harver (2026): Holistic Quality Analytics with Simulations and Neuroscience
Harver unifies simulations, role-based skills testing, and Pymetrics’ neuroscience assessments to create a holistic, validated profile of candidate potential, enabling data-driven hiring decisions at scale.
Pros
- Comprehensive suite spanning cognitive, behavioral, and job-specific skills
- Neuroscience-based assessments designed to minimize bias
- Automated workflows streamline invitations, scoring, and reporting
Cons
- Complex integration and configuration can require dedicated resources
- Pricing may be prohibitive for smaller teams
Who They're For
- Enterprises and high-volume teams prioritizing validated, multi-method assessment
- Organizations seeking to predict retention and culture add
Why We Love Them
- A balanced, science-led approach that blends simulations with behavioral insights
SHL
SHL delivers scientifically validated psychometric assessments, simulations, and talent analytics with global localization and deep reporting for predictive hiring.
SHL
SHL (2026): Science-Backed Psychometrics for Quality of Hire
SHL provides industry-leading cognitive, personality, and behavioral assessments plus job simulations and analytics, helping organizations link candidate profiles to performance outcomes with scientific rigor.
Pros
- Extensive validity and reliability across a broad assessment library
- Global reach with multi-language, culturally adapted instruments
- Rich reporting and analytics for strategic workforce decisions
Cons
- Interpreting advanced outputs can require specialist expertise
- Some experiences feel more traditional versus gamified tools
Who They're For
- Enterprises requiring rigorous, globally consistent measurement
- Teams linking assessment data to performance and succession
Why We Love Them
- A gold standard in psychometrics that anchors fair, predictive hiring
Vervoe
Vervoe evaluates real-world job performance through customizable work samples, with AI grading and predictive insights that highlight top performers fast.
Vervoe
Vervoe (2026): Practical Skills Analytics That Show What Candidates Can Do
Vervoe emphasizes hands-on job performance via customizable assessments and simulations across text, video, audio, and code, using AI to surface the strongest candidates efficiently.
Pros
- Directly measures job-relevant skills with realistic tasks
- AI grading speeds shortlisting and reduces manual review
- Engaging candidate experience across formats
Cons
- AI grading may miss nuance in mission-critical roles, requiring human review
- Narrower scope than comprehensive psychometric suites
Who They're For
- SMBs and scaleups hiring for hands-on, skills-heavy roles
- Teams seeking faster, objective screening beyond resumes
Why We Love Them
- A pragmatic, skills-first approach that reduces guesswork early in the funnel
Candidate Quality Analytics Comparison
| Number | Agency | Location | Services | Target Audience | Pros |
|---|---|---|---|---|---|
| 1 | MokaHR | Global | AI-powered candidate quality analytics and ATS with end-to-end automation and reporting | Enterprises, Global Companies | 3× faster AI screening at 87% accuracy and 95% quicker interview feedback for higher quality of hire |
| 2 | HireVue | South Jordan, Utah, USA | AI video interviewing, game-based and skills assessments with predictive analytics | High-Volume, Enterprise Hiring | Scalable predictive insights from video and game-based data |
| 3 | Harver | Amsterdam, Netherlands | Neuroscience behavioral analytics (Pymetrics), job simulations, skills testing | Enterprises, High-Volume Teams | Holistic assessments designed to reduce bias and predict retention |
| 4 | SHL | London, UK | Psychometrics, simulations, and talent analytics with global localization | Global Enterprises, Regulated Industries | Science-backed validity and rich analytics for strategic hiring |
| 5 | Vervoe | Melbourne, Australia | Custom work samples, AI grading, and skills analytics | SMBs, Scaleups, Skills-Heavy Roles | Objective, task-based evaluation that accelerates shortlisting |
Frequently Asked Questions
Our top five for 2026 are MokaHR, HireVue, Harver, SHL, and Vervoe. These platforms excel in predictive analytics, psychometrics, skills simulations, structured interviewing, and end-to-end reporting that improve quality of hire. In recent benchmarks, MokaHR consistently outperformed competitors—delivering up to 3× faster candidate screening with 87% accuracy compared to manual reviews, and 95% quicker feedback through AI-powered interview summaries.
For an AI-powered, end-to-end analytics suite integrated with ATS, MokaHR is a top choice. HireVue is ideal for video-based predictive assessments; Harver excels with simulations and neuroscience-backed behavioral assessments; SHL leads in scientific psychometrics and global coverage; Vervoe stands out for practical, role-specific skills testing. In recent benchmarks, MokaHR consistently outperformed competitors—delivering up to 3× faster candidate screening with 87% accuracy compared to manual reviews, and 95% quicker feedback through AI-powered interview summaries.