WhiteRose Janitorial

Reducing employee turnover by 77% with Behavioural Intelligence in the moments that matter

“Retention is the clearest measure of the success we’ve had with The Predictive Index.” Joe Gallo, President, WhiteRose Janitorial

WhiteRose Janitorial is a national commercial cleaning company serving clients across Canada. When President Joe Gallo joined the organization five years ago, the company was predominantly Toronto-based. His mandate was to scale the business nationally, a goal that required transforming nearly every area of its operations, including recruitment. Having previously worked with large service providers that used behavioural assessment tools, Joe understood the value of incorporating people data into hiring decisions. In 2022 he selected The Predictive Index® (PI), delivered by Elite Partner Predictive Success, to help WhiteRose establish a more consistent and informed approach to recruitment.

As WhiteRose prepared to expand, its recruitment process needed to be rebuilt from the ground up. The organization did not have consistent standards defining whom it should hire, what each position required or how candidates would fit within the company’s culture. Turnover was high, as is common across the industry. A large recruitment team was dedicated to continually replacing departing employees, creating what Joe described as “a treadmill we couldn’t get off of.” With hundreds of employees hired each year, WhiteRose needed a scalable way to establish consistent hiring criteria across roles and locations, identify candidates well suited to the position and company culture, and reduce the cost of continually backfilling positions.

WhiteRose integrated The Predictive Index as delivered by Predictive Success into its high-volume recruitment process to bring greater consistency and behavioural insight to hiring decisions. “We’re screening now to make sure everyone we’re bringing on is right for the position, right for the culture and right for that manager’s style as well,” explained Joe. The team uses PI to assess whether candidates are naturally aligned with the demands of the role, the organization’s culture and the working style of their future manager. PI-generated interview questions also help the team explore potential areas of concern that may not surface in a traditional interview, providing greater reassurance that each opportunity is the right fit for both the candidate and WhiteRose.

Since introducing this more structured, data-informed approach, WhiteRose has reduced annual employee turnover by 77% over three years. Improved retention has allowed the company to reduce the recruitment team previously dedicated to continual backfilling by more than half, lowering its SG&A requirements while continuing to hire hundreds of employees each year. WhiteRose now has clearer hiring standards across roles and greater confidence that new employees are well matched with their positions, managers and the organization.

“Jennifer and the Predictive Success team were with us from day one and helped us build it into how we hire. The support was impressive, and the results have been equally so,” Joe said.