Successfully predicted significant scales
- Find predictive criteria to assist in decision making process
- Innovative engaging admission process
Finding the right candidate among thousands of applicants could be challenging. However, understanding people analytics and the necessary traits for the position, doesn’t have to be. Finding key traits and behavioral characteristics within an existing population provides rich insights for more informed decision making. The challenge was to locate the predictive criteria of the current population through Assense, all while delivering top user experience, for more effective future candidate selection.
Actiview worked closely with the existing population to locate true success criteria. The first phase was to understand the organizational behavior by finding predictive criteria among the existing body. Actual success records (grades, reviews, and other performance indicators) are collected in parallel to Assense’s behavioral VR data, followed by analysis and discovery of significant correlations. These correlations of top performers will enable the acceptance of the best suited candidates.
In phase one, Actiview’s innovative approach increased the predictive value by factoring in the customer’s success metrics into the assessment process. By assessing a first batch of participants, Assense successfully predicted 6 of the client’s significant scales, and were able to showcase 16 previously unmeasured objective behavioral traits within the existing population. Identifying new behavioral measurements and access to people analytics allows for better, objective and more informed decision making.
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