Case Study: One of the Largest Insurance Companies boosts high performers by 94% and reduces interview effort by 35% with SHL predictive hiring solution

One of the largest insurance company leverages Artificial Intelligence based tools to predict success of sales recruits at scale

Largest Insurance Company needed a predictable, scalable way to hire effective salespeople: recruitment was dominated by interviews and generic assessments, with hiring success rates as low as 1-in-3 and high costs from failed hires. SHL was engaged to deliver a data‑driven assessment and predictive‑hiring solution, using a Sales Situational Judgment Test and an adaptive logical‑ability assessment to measure selling skills, attitude and practical intelligence.

SHL conducted a job analysis, correlated veteran salespeople’s test scores with on‑the‑job performance (multi‑regression r = 0.34), integrated the assessments into the applicant‑tracking system and rolled the solution out at scale. The SHL program processed over 2,000 applicants in a year, raised high performers from 32% to 62% (a 94% increase), reduced low performers by 44% and cut interview effort by 35%, delivering faster, more reliable hiring decisions.