Smarter science.
Smarter candidate screening solutions.
Cangrade’s talent intelligence is built on decades of I-O psychology research, validated against real performance outcomes, and refined across millions of assessments.We promote job fit and employment equity so workers and companies thrive.
The research foundation behind Cangrade’s assessments
Cangrade’s science team waded through decades of research on personality, motivation, aptitude, job performance, and job satisfaction to find what actually predicts whether someone will succeed and be happy in a role. The answer kept coming back to the same thing, personality traits and soft skills.
That finding shaped everything Cangrade built. Our I-O psychology team spent years determining which questions to ask and how to ask them ot ensure our measurements were valid and reliable. After extensive testing across millions of data points from thousands of organizations, we identified the specific questions that reliably measure each of our 50 psychometric traits.
Custom success models built for every role and organization
Cangrade works differently. Every role gets its own success model — a custom profile of the traits and soft skills that predict performance and satisfaction in that specific position, at your specific organization.
We can build your success model in three ways: using Cangrade’s AI trained on your performance KPIs, drawing on your internal experts, or by inputting your job description directly into our generative AI. Whichever path you take, the result is the same — a validated model that scores candidates on their likelihood of becoming your next high performer.
Our AI algorithms account for these interactions by seeking holistic fit. They use a heuristic approach, simulating complex human analysis strategies using cutting-edge Machine Learning techniques, to continuously optimize models that produce success and remove bias using our patented process.
How Cangrade’s AI predicts candidate success
Most hiring algorithms score traits in isolation. Cangrade’s AI accounts for how traits interact. Because a combination of characteristics that work in one role may not work in another.
We use a heuristic approach that simulates the holistic analysis of a skilled expert, and continuously optimizes your success model as more performance data comes in. Every score comes with a full explanation of what drove it. Full transparency, no black box.
The result is predictions that are up to 10x more accurate than traditional hiring methods.
How Cangrade removes bias from pre-hire assessments
Most pre-hire assessments have bias baked in. Cangrade’s patented process removes it at three levels: the item, the scale, and the model itself.
Every question has been tested across all EEOC-protected demographic groups. Any question with statistically significant adverse impact on any group is eliminated. The same standard applies at the trait and model level.
The result? Cangrade’s pre-hire assessments have no statistically significant adverse impact on any legally protected demographic group, as documented in US Patent No. 11,429,859.
One scientific foundation. Every Cangrade solution.
The same methodology that powers our pre-hire assessments is the engine underneath every Cangrade product: from resume screening and video interviewing to reference checking, skills testing, internal mobility, and workforce development.
Whatever stage of the hiring and talent lifecycle you’re working on, our science measures the right traits to predict who will succeed.
Proven in practice
10x
more accurate predictions of success1
81%
decrease in time-to-hire2
52%
average decrease in turnover3
98%
candidate satisfaction4
Common questions about Cangrade’s assessment science
What does Cangrade’s pre-hire assessment measure?
Cangrade’s pre-hire assessment measures 50 psychometric traits that have been validated as the strongest predictors of job performance and satisfaction. The assessment does not measure credentials, educational background, or characteristics unrelated to job performance. Every trait in the assessment has been tested for reliability, predictive validity, and freedom from adverse impact on any EEOC-protected demographic group.
How does Cangrade build a success model for a specific role?
A success model is a custom profile of the traits and soft skills that predict success in a particular role at a particular organization. Cangrade builds success models in three ways: using AI trained on the performance KPIs your organization cares about, drawing on input from your internal experts, or by processing a job description through our generative AI. The result is a validated, role-specific model that scores candidates on their likelihood of becoming a high performer in that position.
How accurate are Cangrade’s hiring predictions?
Cangrade’s AI-powered success models predict candidate success up to 10x more accurately than traditional hiring methods, including unstructured interviews and resume review. This accuracy comes from the heuristic machine learning approach that accounts for how traits interact with each other, not just individual scores in isolation, and from continuous model optimization as more performance data is collected.
How does Cangrade remove bias from its assessments?
Cangrade uses a patented three-level bias removal process. Every assessment question has been tested across all EEOC-protected demographic groups. Any question showing a statistically significant adverse impact on any group is eliminated. The same testing applies at the trait level and the model level. This process is documented in US Patent No. 11,429,859. Cangrade’s assessments have no statistically significant adverse impact on any legally protected demographic group.