{"id":2534,"date":"2015-11-22T16:53:17","date_gmt":"2015-11-22T21:53:17","guid":{"rendered":"https:\/\/digital.hbs.edu\/platform-digit\/submission\/pymetrics-play-games-get-a-job\/"},"modified":"2015-11-22T16:54:32","modified_gmt":"2015-11-22T21:54:32","slug":"pymetrics-play-games-get-a-job","status":"publish","type":"hck-submission","link":"https:\/\/d3.harvard.edu\/platform-digit\/submission\/pymetrics-play-games-get-a-job\/","title":{"rendered":"Pymetrics: Play Games, Get a Job"},"content":{"rendered":"

What is pymetrics?<\/strong><\/p>\n

Pymetrics taps into a similar market gap as Aspiring Minds. Launched in 2014 by co-founders Frida Polli and Julie Yoo from HBS and MIT, respectively, it uses decades of neuroscience research to help companies and potential employees assess \u201cemotional intelligence and intellectual intelligence\u201d to help recruiters find the right candidate for the job, and to help candidates find the right career path.<\/p>\n

According to a 2014 article in INC, pymetrics first \u201cfunded itself entirely with revenue from the business until December 2013, when it raised $2.5 million from Khosla Ventures\u201d after having built a prototype \u2013 it launched in the fall of 2014.<\/p>\n

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To take the test, users simply go to the pymetrics\u2019 website<\/a> and play 12 games, which the startup claims takes about 30 minutes. Upon completion, gamers receive insights about \u201c50 key cognitive and emotional traits\u201d like attention to detail and memory and are matched up with potential careers in which they might excel. They can also choose to have their profile shared with potential employers who use pymetrics. By April 2015, pymetrics had reached over 80,000 job seekers and has partnered with a handful of major global companies, like Fidelity and Egon Zehnder.<\/p>\n

How does it use data to create value?<\/strong><\/p>\n

With every game played on its platform, pymetrics collects more and more data to feed into its \u201csophisticated data science algorithms, [allowing them] to create a personalized cognitive, emotional, and social profile, as well as career profile\u201d for test takers. They also track candidates that were successfully matched with job to incorporate success rates back into the algorithm.<\/p>\n

This neuroscience-meets-big-data approach allows them to create value in two major ways:<\/p>\n