Intelligent Talent Acquisition Research

Improving Quality of Hire

Resources: Guide

Recruiting leaders must focus on quality of hire to prosper in uncertain times.

A study from Aptitude Research & Oleeo demonstrates a widespread need for Intelligent Talent Acquisition to transform talent acquisition processes in the “new normal” and improve quality of hire.

With 63% of companies stating that finding and attracting quality hires is the greatest challenge facing their businesses, talent acquisition and HR leaders can no longer afford to rely on a reactive or traditional approach to recruitment. They must look to the future and rely on data to meet the needs of the business and the changing expectations of candidates, recruiters, and hiring managers, a new research report published today reveals.

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Using Oleeo Technology.

Improving Quality of Hire through Intelligent Talent Acquisition published by Aptitude Research, leading providers of  research, advisory and market analysis on all things Human Capital Management in association with Oleeo, uncovers how companies are facing a new normal in talent acquisition that impacts both processes and technology.

Based on research conducted in February and March 2020, it reveals how today’s global crisis brings a state of uncertainty that requires companies to be efficient but also, to focus on quality in a more strategic way in order to see improvements such as overall efficiency, improved candidate experience, reduced bias, and better quality of hires.

Interesting findings from the research include:

  • Companies that use data to automate decision-making are twice as likely to improve quality of hire
  • 72% of enterprise companies believe that using data to automate decisions is a priority in 2020
  • Nearly 90% of companies are concerned with reducing bias in their talent acquisition process
  • Currently, recruiters spend on average over 16 hours a week on scheduling and 1 in 3 companies state that the application process takes over 30 minutes.
  • 67% of talent acquisition and HR professionals are not providing hiring managers with the right data to made decisions
  • Only 32% of senior leaders are confident in the data that they have available to make decisions
  • Half of large enterprise employers do not measure the ROI of their recruitment technology
  • Only 27% of enterprise companies are only planning to automate more than 50%  of their talent acquisition processes
  • Less than 50% of companies state that interviews are undertaken consistently  in their business

Intelligent Selection

An add-on module to Oleeo Recruit, Intelligent Selection leverages artificial intelligence to automatically score candidates for interview selection and next steps, reducing bias in selection, pinpointing top candidates, and improving quality of hire, while accelerating recruiting processes. Using data points found in CV/resumes, application forms and online test scores, Intelligent Selection applies proven machine learning algorithms to identify the candidates most likely to be great hires, while avoiding bias.

Oleeo’s Intelligent Selection algorithm looks at your available data (such as candidate achievements, education, past employment, and test results, as well as successful candidates’ performance in role and retention), and uses this data to understand how decisions are being made today about who to invite to interview.
This datasheet gives you more information on what the tool offers to help you benefit from AI-driven recruitment using Oleeo technology. Click the buttons below to read the datasheet or talk to us today about how we can assist.

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Oleeo would be delighted to hear about your talent acquisition needs to see if we can help you. Get in touch today!