Award-winning startup shares 'powerful alchemy' behind recruiting

Award-winning startup shares

Recruitment is an expensive business – the entire screening and interviewing process costs companies US$4,000 per candidate, according to Bersin by Deloitte.

As the talent war intensifies, businesses that pursue talent acquisition strategies blindly – that is, without the right data – will only end up wasting resources on the wrong people.

Talent intelligence
To make recruiting fast, fair, and effective, top organizations use artificial intelligence and data-driven tools to identify who among their talent are excelling, and uncover why and how.

“Data gives you ‘talent intelligence,’” Barbara Hyman, CEO of PredictiveHire, told HR Tech News.

When organizations take away the ‘gut feel’ and personal bias that taint hiring decisions, and focus instead on metrics that determine success in the role, they are better equipped to optimize talent.

This data-driven approach “allows for transparency in decision-making and creates trust in how people decisions are made,” Hyman said.

Talent intelligence is one of PredictiveHire’s areas of expertise. At the 2018 HR Tech Summit Sydney, the company won the prize for Australia’s most promising startup for its potential to revolutionize recruitment.

“Our vision draws on a powerful alchemy of behavioral and data science,” the CEO said.

Indicators of success
The AI that powers PredictiveHire is a “sophisticated sifting tool” that screens candidates based on traits, values, and behaviors – not on misleading résumés and personal data.

“This means your recruitment team only spend time face-to-face with the best candidates.”

Job applicants only need to answer a simple survey and some “free text” questions. “Running this through our AI, you can identify in a few seconds whether an applicant is a fit for the role,” Hyman said.

“The survey is based on behavioral science searches for the lead indicators of job success: the correlating factors between values, personality, and job performance. We all intuitively know that behaviors drive these leading indicators, but we struggle to assess for those consistently well.”

PredictiveHire is one of the earliest entrants in the market for AI-powered talent analytics, and early adopters are now seeing the “power of data in bringing efficiency and fairness to people decision making,” said Hyman.

“We should be using AI to inform our decisions, not make them for us,” she said. “If you let it, smart AI will increase the meaningful information you have to assist your decision making.”

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