Case Study: Neighborly Decreases Cost Per Hire by 54% with Paradox Conversational AI

A Paradox Case Study

Preview of the Neighborly Case Study

Decreasing average cost per hire by 54% with conversational AI

Neighborly, a home services franchisor, was struggling to keep up with hiring demand in the trades industry as candidates moved into other types of roles. To modernize and scale its recruiting process, Neighborly turned to Paradox and its Conversational ATS, along with Traitify Assessments, to help streamline how it acquired talent.

Paradox implemented an AI assistant named Maya to automate administrative hiring tasks like screening and scheduling. The results were significant: time-to-schedule dropped from 5 days to 9 minutes, hires increased by 81% per week, and Neighborly saw a 54% decrease in cost per hire, along with a 99.87% reduction in time to schedule.


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