Case Study: Lyft improves structured hiring and reduces interview time with Greenhouse Recruiting

Lyft reduces interview time per hire by 35% with Greenhouse Software

Lyft, an on-demand peer-to-peer ride sharing company, faced significant challenges scaling its hiring processes due to an inefficient and inconsistent Application Tracking System (ATS). The lack of structured hiring, insecure systems requiring manual work, and ineffective reporting were hindering its rapid growth. To address this, Lyft partnered with Greenhouse Software and implemented their product, Greenhouse Recruiting.

By implementing Greenhouse Recruiting, Lyft gained a structured hiring process with consistent interview plans, scorecards, and improved permissions. This solution delivered substantial results, including a 35% reduction in interview time per hire and a 50% reduction in time spent on reporting. With trusted data and increased efficiency from Greenhouse, Lyft successfully scaled its team from 2,500 to 4,500 employees in the first year.

Lyft