Harver

Harver is a volume-hiring platform that uses pre-employment assessments and automated workflows to predict which frontline candidates will succeed and stay.

Overview

When you hire thousands of people a year, small improvements in selection compound fast. Harver combines situational judgment tests, cognitive assessments, and realistic job previews into an application flow that feels engaging to candidates while generating predictive data for employers. Its matching algorithms score applicants against success profiles derived from a company’s own top performers, and automation handles rejection, progression, and scheduling in between. The platform is particularly established in retail, contact centers, and hospitality, where turnover costs dominate hiring budgets.

By showing candidates a realistic preview of the job, employers reduce early turnover — often the largest hidden cost in volume hiring. Selection data feeds analytics that validate which assessments actually predict performance, so the process improves with every cohort. Automation keeps large candidate flows moving without adding recruiter headcount.

Key Features

• Validated assessments spanning judgment, cognition, and job fit
• Realistic job previews that reduce early attrition
• Automated candidate progression, rejection, and scheduling
• Analytics linking selection criteria to on-the-job performance
• Bulk hiring workflows with ATS integrations
• Configurable assessment batteries per role and location
• Automated communication for rejection, progression, and scheduling
• Validation studies connecting scores to job outcomes

Benefits compound as assessment data accumulates: employers learn which criteria predict tenure in which locations, and hiring standards tighten precisely where they matter. Automated communication keeps applicants warm even during volume spikes, and seasonal hiring scales without adding recruiter headcount — often the trigger for adoption in retail and logistics.

Realistic job previews also function as self-selection: candidates who dislike the role leave early, which improves both retention and manager satisfaction. The analytics tie selection criteria to outcomes, closing the loop most hiring tools leave open.

Pricing

Harver is licensed through enterprise agreements based on hiring volume and modules; pricing is shared after a needs assessment.

Who Is It For

Large employers running continuous, high-volume recruiting who need selection that is both faster and measurably fairer. It fits employers where retention and throughput of hiring are the metrics that matter.