Harver
Harver is a pre-employment assessment platform that uses AI, behavioral science, and predictive analytics to help high-volume employers identify the best-fit ca
What is Harver?
Harver is a pre-employment assessment platform designed to help large-scale employers screen and evaluate job candidates more effectively. It combines AI algorithms with principles from behavioural science to predict which candidates will perform well in specific roles. Rather than relying solely on CVs and interviews, Harver uses predictive analytics to identify patterns that correlate with job success, helping recruitment teams focus on the most promising applicants. The platform is particularly useful for organisations that process high volumes of applications and need to reduce time-to-hire whilst improving the quality of new hires.
Key Features
Behavioural assessments
Evaluates candidate traits and work style through science-backed questionnaires
Predictive analytics
Uses data to forecast job performance and cultural fit
Customisable tests
Tailor assessments to match specific role requirements and company values
Candidate experience tools
Provides feedback and communication features to maintain engagement throughout screening
Integration capabilities
Connects with applicant tracking systems and HR platforms
Reporting and insights
Generates data visualisations to support hiring decisions
Pros & Cons
Advantages
- Reduces bias in early-stage hiring by using standardised, science-based assessments
- Speeds up candidate screening for high-volume recruitment operations
- Provides objective data to support hiring decisions and reduce costly mis-hires
- Improves candidate experience by offering clear feedback and transparent evaluation criteria
Limitations
- May not suit organisations with lower hiring volumes or niche recruitment needs
- Requires time investment to set up and customise assessments properly for your organisation
- Relies on historical data quality; poor past hiring decisions may skew predictive accuracy
Use Cases
Retail or hospitality chains screening hundreds of applications for entry-level roles
Contact centres or customer service teams evaluating candidates at scale
Tech companies assessing cultural fit alongside technical skills
Logistics or manufacturing facilities with seasonal hiring demands
Graduate recruitment programmes processing large applicant pools