Updated: Dec 3, 2020
In this day and age, we're starting to see a veer from traditional hiring techniques and a push for newer ways of thinking when hiring individuals. While a degree can be very important when it comes to hiring, more employers are beginning to look past the traditional degree and put more focus on individual experience and cognitive skills.
One company at the forefront of this movement is Pymetrics, a start-up straight out of NYC that is changing the way companies fill empty roles. The company describes it like this.
" Applying proven neuroscience games and cutting edge AI to reinvent the way companies attract, select, and retain talent. " - Pymetrics
The idea started when Frida Polli, badass CEO of Pymetrics, had a fat-stack resume that didn't show the potential she had or what she could do. So, she set out to make a company that could match people to roles where they can succeed the most.
The idea is this: when you're watching Netflix or Youtube, your video suggestions aren't simple. There are so many algorithms and deep learning that the platform does to understand you and find the best video you'd potentially want to watch.
The system works by simply giving you a series of "Neuroscience Games." Then, it applies machine learning and AI on both the employer's and employee's end. Each company role has its own algorithm that can find the correct match, and if you don't match for a role, the system can find another role that's a better fit for you. Companies like Tesla and LinkedIn are already on board.
In our opinion, the best part of using this system is eliminating bias and therefore increasing diversity in the work place. The algorithms can test for personal bias which increases minority hires. Alongside that, the company also values Equal Employment Laws as well as Privacy.
What are your thoughts? Do you see this becoming mainstream in the near future?