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Overview
Harver builds pre-employment assessments and predictive matching for high-volume hiring. Founded in 2013 in Amsterdam, it combines behavioural science with machine learning to rank candidates fairly. It acquired the assessment pioneer pymetrics to broaden its science base.
News
How Pandora Reduced Attrition 25% and Generated $35M Through Science-Based Hiring
Pandora cut time-to-hire from 38 to 15 days and unlocked $35M in sales value by replacing gut-feel hiring with predictive assessments. Here's how they did it.
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Report
Defensible Hiring: How Validated Assessments Hold Up Under Scrutiny
TL;DR: Hiring decisions are facing more scrutiny, and faster candidate selection does not help if the process cannot explain what it measures, why those measures matter for the role, and how decisions are made. Validated assessments give hiring teams a st
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Report
You're Hiring for AI Readiness. You Have No Idea If Your Current Workforce Has It.
TL;DR: AI readiness exposes a measurement gap across the talent lifecycle: organizations are hiring for AI-enabled work while often lacking comparable evidence on whether existing employees can adapt, be developed, or be redeployed as roles change. Resume
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Report
Why 55% of Employers Now Regret AI-Driven Layoffs
TL;DR: AI is pushing companies to reshape their workforces quickly, and those moves get expensive to walk back when leaders act without knowing what their people can actually do, how roles are shifting, and who can adapt. The 55% regret figure points stra
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Report
The Science Behind Skills-Based Hiring: What Predicts Performance and How to Measure It
Why is hiring important? It's to bring in talent that delivers the most value to your stakeholders. From an executive perspective, this is the value of adding to the bottom line by increasing revenue generation and decreasing cost. From a Talent leader pe
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Report
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