We believe good hiring decisions start with good measurement. AI helps us bring a structured approach to candidate evaluation. So hiring teams can assess more candidates, more efficiently.
C-Factor AI brings together assessment principles, AI-enabled technology, and practical hiring experience to support organizations in evaluating talent in a more structured way.
Enterprise Clients
Candidate Assessments
Countries Covered
Languages Supported
Four disciplines inform our approach to assessment. From defining relevant competencies to designing structured measurement approaches, these disciplines help guide how we develop and refine our assessments.
Our approach is informed by principles of Industrial-Organizational Psychology, helping us consider workplace competencies, behaviors, and role requirements when designing assessment experiences.
Our approach is informed by psychometric principles that consider how assessments are structured, scored, and interpreted. This helps us design assessment experiences around clearly defined competencies and relevant evaluation criteria.
The signals inside candidate responses are as important as the answers themselves. Extracting those signals from language, structure, timing, choice patterns is a discipline of its own.
Assessment and AI are evolving fields. We focus on improving our tools and experiences over time as our platform develops and new approaches become available.
We combine established assessment principles with technology to support more structured and consistent approaches to evaluating talent. Our approach is designed to consider the skills and competencies relevant to each assessment context.
Our assessments are designed around defined competencies and role-relevant criteria, helping organizations evaluate candidates through a consistent assessment approach.
AI-enabled tools can support structured interviews by helping organize candidate responses and assessment information within a consistent framework.
We aim to support consistent assessment experiences by using structured criteria and clearly defined evaluation approaches across candidates.
Technology can enable assessment experiences to adapt to the context of the candidate or role, while keeping the assessment focused on relevant competencies.
Our assessment approach uses competency-based frameworks to help organizations focus on the capabilities and behaviors relevant to different roles and contexts.
We focus on clear assessment structures and accessible outputs to help recruiters and hiring teams better understand the information available to them when evaluating candidates.
CEO · The Talent Games
AI is changing how organizations approach talent evaluation. Our focus is on combining technology with structured assessment principles to support better, more informed hiring decisions.
We believe AI should enhance the assessment process by giving hiring teams useful insights, while keeping human judgment and decision-making at the center of the experience.
C-Factor AI’s assessment approach is informed by established principles from Industrial-Organizational Psychology, psychometrics, and behavioral science. These principles help guide how we structure assessments, define relevant competencies, and use technology to support more consistent talent evaluation. Our approach is focused on applying these principles practically within the context of modern recruitment.
Where customers permit, we track post-hire performance ratings against pre-hire scores. When correlations weaken over time, we investigate and retrain. This is our primary ground-truth signal. Customers with mature deployments contribute to our ongoing predictive validity research program.
We recognize that language, cultural context, and communication styles can influence how candidates respond during an assessment. Our approach is to use clear, structured assessment criteria and consider the context in which candidates are being evaluated. Where appropriate, assessments can be adapted to suit the relevant role, language, and candidate context.
Our approach brings together established assessment principles and AI-enabled technology. Rather than relying on AI alone to evaluate candidates, we use structured competency-based approaches to inform how assessment experiences are designed and delivered. This allows technology to support the assessment process while keeping relevant skills and competencies at the center.
The best way to understand the platform is to explore how its assessment and AI-enabled features work in practice. Organizations can review the available capabilities, discuss their specific hiring needs with our team, and determine which parts of the platform are relevant to their recruitment process.
We aim to make our assessment approach clear and understandable by defining the competencies being assessed and providing structured information to support the evaluation process. Our AI-enabled tools are designed to assist recruiters and hiring teams, with the final interpretation and hiring decision remaining with the organization.
