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Precision Hiring Decisions: Using Simulations and Machine Learning to Improve Your Candidate Experience and Optimize Recruiting

by Rosemary Sima

Join us for an engaging and informative webinar. In conjunction with Oracle Human Capital Management Users Group (OHUG), we are proud to present:

Half recruiter, half computer is the augmented reality of the modern talent acquisition professional. Technology is highly reliable with repetitive tasks, and recruiters use insight and judgement to make complex job-fit decisions. The combination of recruiter and technology creates a platform for making precise hiring decisions.

Candidates want an opportunity to demonstrate their capabilities and they share in the career decision. Simulations and job relevant exercises can engage, educate and help evaluate candidates. Join us for this informative webinar to learn how you can go beyond resumes and obtain a work-sample that predicts job-fit.

We will explore how predictive modeling is used to create a calibrated and validated candidate evaluation process that will allow you to objectively rank candidates based on demonstrated capabilities.

During this webinar you will:

1. Examine Candidate Experience Awards survey results from 95,000 applicants stating what they find most valuable in the recruiting process.

2. Conduct an audit of current analytic practices against a talent analytics maturity model.

3. Review five types of work-sample simulation exercises that engage and evaluate applicants.

4. Explore two critical data gathering steps to support predictive modeling for validation and scoring calibration.


This webinar is sponsored by Shaker.

Shaker’s Virtual Job Tryout technology enables recruiters to combine the best of predictive analytics and human judgment. Recruiters identify best-fit candidates with more precision, increase new-hire retention and improve quality of hire. Virtual Job Tryout technology delivers pre-employment assessments as day-in-the-life experiences that educate and engage while obtaining a work sample that predicts job-fit and competencies critical for success.

Mr. Murphy is executive vice president at Shaker and has over 35 years of experience in human resources. The emphasis of his current work is on enhancing the candidate experience and improving quality of hire. He is an active leader in the Candidate Experience Awards and member of the CandE Council.

Eric J. Sydell, Ph.D. is a principal and vice president of R&D and Innovation at Shaker.

Dr. Sydell has fostered a culture of product development that enables recruiters to combine the best of predictive analytics and human judgment with proprietary Virtual Job Tryout® technology. Recruiters identify best-fit candidates with more precision, increase new-hire retention, and improve quality of hire. Dr. Sydell contributes on emerging practices and research findings to the profession through peer reviewed articles and presentations at conferences, such as the Society of Industrial Organizational Psychology (SIOP).
Shaker is an Oracle Gold Validated Integration Partner.