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