Science technology company Gooroo Ventures is levelling the recruitment playing field by using big data, machine learning and sociometrics to introduce blind recruitment to the IT industry. 

“When we created the platform, blind recruitment was an instinctive part of the product development process, not plug in,” said Gooroo Venutres CEO and Founder, Greg Muller. 

“IT skills and talents and ability to deliver are not predicated on gender, geography or culture. IT has its own universal language. The platform uses artificial intelligence and hard data to generate an anonymous shortlist of qualified and verified IT talent.

“As a data and science driven platform, it made absolute sense to us to remove some of the known human barriers and biases in recruitment.”

Unconscious bias in the recruitment sector has been well documented. The bias variables that come into play run deeper than just gender and ethnicity. They include confirmation bias, where we make a decision and look for supporting evidence, affinity bias where we gravitate towards candidates who are ‘most like us’ and satisfaction bias, where we jump to a premature decision because at least we have an answer.

“Unfortunately, quality talent often gets rejected on the basis of psychological profiles developed up to a century ago, which have little relationship to jobs and careers of the 21 century. Many of the best available talent do not get to an interview as a result of bias and prejudice,” said Mr Muller.

The drive from increased workplace diversity is being driven from both public enterprises. The ASX is now recommending organisations report on their gender diversity in their annual reports, and state and federal governments are experimenting with their own versions of blind recruitment. 

“The platform enables hirers to be thorough and prescriptive in their requirements for both hard and soft skills, and the IT talent to drive their careers in a direction that plays not only to their strengths, but to their preferred career aspirations and work environments,” said Mr Muller.

“The predictive technology removes the inherent, but unconscious biases, and can deliver employers a pleasant surprise when they see the diverse pool of candidates, who have scientifically been matched to their needs.” 

Another well documented statistic is that men apply for a job when they knowingly meet only 60 per cent of the qualifications, whereas women will only apply if they meet 100 per cent.

“The platform can be an ally for women in IT because when they list their skills and preferences, they may find themselves on shortlists for opportunities they themselves would not have applied for,” said Mr Muller.

“The platform encourages more expansive thinking from both the organisations and IT talent.”

 

Media enquiries
Darcy Cameron
VP Marketing, Gooroo
Tel:  +61 488 248 555
Email: [email protected]