Case Study: Neighborly cuts cost-per-hire by 54% with Workday Paradox

A Workday Case Study

Preview of the Neighborly Case Study

Neighborly cuts cost-per-hire by 54% with Workday

Neighborly, a nationwide franchisor of home services, faced a critical hiring challenge as a shrinking pool of skilled trade candidates threatened to cause understaffing across its many brands. To address this, they turned to the vendor Workday and implemented its Workday Paradox Conversational ATS to transform their recruitment process.

The solution involved an AI agent named Maya that automated candidate screening, questioning, and interview scheduling via text conversations. This implementation by Workday yielded dramatic results: Neighborly saw a 71% increase in applicants, slashed interview scheduling time from five days to just nine minutes, and achieved a 54% decrease in cost-per-hire.


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