Simplifying comp cycles, saving time, and setting the stage for future success
Elevate Labs develops mental betterment applications. Their innovative mobile apps Elevate (a brain-training program focused on reading, writing, and math) and Balance (a personalized mediation app) help billions lead healthier, more productive lives.
Before partnering with CandorIQ, Elevate Labs managed their compensation cycles using a heavily manual process reliant on CSV uploads and extensive vendor intervention. With little self-serve functionality, the HR team spent months preparing for compensation cycles, holding frequent meetings with their vendor to correct data, and manually applying location differentials across compensation bands. The process was time-consuming, error-prone, and costly, leaving the team searching for a more efficient, self-sufficient solution to streamline their operations and reduce costs.
Elevate Labs partnered with CandorIQ to transform their comp cycle process, introducing self-serve capabilities, automating location differentials, and drastically reducing manual workloads. With CandorIQ’s efficient and cost-effective platform, Elevate Labs gained confidence in their compensation data, streamlined operations, and aligned compensation strategies with broader business goals.
Automation of location differentials and self-serve capabilities significantly reduced the time spent on manual tasks.
Switching to CandorIQ resulted in lower platform costs compared to their previous solution, contributing to operational savings as Elevate Labs scales.
Improved tools and workflows reduced the reliance on external support, making compensation cycles more efficient and effective.
CandorIQ’s platform ensured data accuracy, enabling the People team to confidently present compensation and equity adjustments to executives.
The automated location differential feature and customizable tools laid the groundwork for reimagining and simplifying Elevate Labs’ complex compensation structure.
Easier tracking of compensation adjustments and clearer data insights helped align People team decisions with broader business goals.
