Client Company:
3 U.S.-based long-haul trucking companies

Challenge: Identify high risk driver profiles and reduce company expenses associated with driver accidents and moving violations; establish a system to screen-out high risk drivers and screen-in low risk drivers.

Solution: PHD created company-specific driver benchmarks that identified unique sets of competencies associated with low risk and high risk truck drivers across each organization. These customized performance models were then used to evaluate the suitability of prospective truck drivers. The tools screened-in those who possessed the necessary competencies associated with low risk, safe and efficient drivers and screened-out those whose competencies ranked in high risk range.

Data collected from each organization's existing driver workforce were used to create the customized safety benchmarks. Drivers were only required to complete a brief 10 minute survey that measures a range of important competencies. Once collected, the employee competency data were evaluated along with actual driver performance records and company performance requirements for the position. The analysis, and subsequent safety benchmarks, very clearly identified the competencies that would be needed for low risk driving as well as those associated with high risk performance. Individuals applying for driver positions within these organizations completed the 10 minute survey and their suitability was determined instantly for the company hiring managers.

Use of PHD's benchmarking tools required no dramatic change to the hiring procedures. These companies simply added the 10 minute competency surveys as an additional step in the hiring process.

At the time of this evaluation: