Recruiting Analytics from NEXA solves the problems of overloaded recruitment resources, excessive recruitment costs, as well as the difficulties of hiring and retaining top candidates. The system progresses past one-size fits all character profiling to deliver fact-based predictive modeling and recruiting proven to significantly lower recruiting expenses as you are increasing your capability to recognise applicants who can flourish in a particular job within your company.
Recruiting Analytics lowers total recruiting expenses by screening out less appropriate applicants and then keeping the best candidates who will be likely to be long-term, productive staff. By making use of this candidate screening and assessment towards the top of the hiring funnel, your HR staff can more speedily recognise and target the top candidates. By improving the quality of hired candidates and reducing the time to fill vacant positions, NEXA’s Recruiting Analytics approach results in immediate and impressive cost savings.
Recruiting Analytics and Fact-Based Assessment
NEXA rejects the notion that a single prospect profile can predict success or accomplishment in any position, company, or industry. Our system is uniquely mapped to distinguish applicants who will be appropriate for your vision, values, and culture while retaining Equal Opportunity compliance, delivering applicants who are more likely than others to be your best, long-term employees.
NEXA works together with your staff to create a complete set of job capabilities, experience, education and learning as well as achievements, which is believed to be factors of effectiveness within your organisation. A study of present staff will be utilised to statistically authenticate the real drivers of overall performance within your company.
Questions about aspects that cannot be associated with effectiveness are removed, supplying a concise, custom-made, effective review for upcoming candidates.
Recruiting Analytics and Predictive Modeling
The information gathered from the research is evaluated to develop a predictive model of overall performance. The actual design will examine all information gathered and will have the following goals:
- Offer a scoring system to differentiate incoming applicants.
- Evaluate if you discover region-specific distinctions that could help make the predictive model more legitimate and if so, use these distinctions in the rating system.
- Give a likelihood of success according to the score for every applicant.
- Categorise the applicants into three groups: Maximum Priority (continue immediately to the next phase); Priority (move forward though with care), and Low Priority (minimal possibility of success).
- Present scores / flags on crucial qualities and / or attitudes for further investigation for applicants in the next stage of recruiting.
- Produce automated alerts once the system has obtained an ideal quantity of maximum-priority applicants.
- Provide a construct for forthcoming improvements.
Deployment Of Recruiting Analytics
When the predictive model is put together and its usefulness has been confirmed in your company, the system can be implemented. The applicant survey can be hosted by NEXA or your own online recruiting site. In either case, scoring is done instantly, ensuring your interviewers will direct their immediate focus on the top applicants, and those most likely for success.
Call NEXA today to get more information on our Recruiting Analytics solution to see how we can help you be more successful in your future hiring decisions.