Data in Recruitment: A Blessing or a Curse?

We are used to hiring based on assumptions.

We assume someone with a master’s degree is smart.

We assume that someone more extroverted is better at sales.

We assume that someone with a clean resume is a structured person.

Unfortunately, hiring mistakes are being made when assuming instead of measuring. 

When, in fact, the true success of hiring depends on how many objective measurements you have & how you use these measurements when making hiring decisions.

Luckily, there is a way to tackle this uncertainty and that is by harnessing the power of data and science, the right way.

In this guide, I will explain to you how it can help you to find the best talent out there, while simultaneously enlarging and diversifying your talent pool!

Cheers, Charlotte Melkert
Co-Founder & CEO at Equalture.

Insights you will get from this guide

Chapter I. Why do we use pre-employment screening
Chapter II. 3 things that go wrong during pre-employment screening
Chapter III. Solution? Data-driven recruitment
Chapter IV. Combining Data & Science: Gamification
Use Case. Equalture’s game-based assessments

Get your guide

Our inspirational blogs, podcasts and video’s

Listen to what they say about our product offering right here

2022 CX Report Equalture
Research

Equalture’s Candidate Experience (CX) Report 2022

Q4 2022 CX Report Equalture
Research

Equalture’s Candidate Experience (CX) Report Q4 2022

Podcast

Oops! I’m Biased #16: Objective Hiring Criteria