Case Study: Lyft accelerates early-career engineering hiring with Karat’s Byteboard

Lyft cuts technical interview time by 50% with Karat

Lyft faced significant challenges in scaling its early-career engineering hiring. The company needed to manage a high volume of candidates, reliably assess candidates with limited real-world experience, and reduce the internal bandwidth required for interviews, all while moving away from pedigree-based screening to find top talent from diverse backgrounds. To address this, Lyft partnered with vendor Karat and implemented its Byteboard service.

Karat's solution used Byteboard's project-based, skills-based interviews to evaluate real-world engineering abilities. This provided a consistent, high-signal assessment that reduced engineering involvement and gave every candidate an equal opportunity. As a result, Lyft achieved a 5x increase in candidate volume, filled 78% of roles in under two months (up from 50%), and cut the time to complete the technical interview in half, saving hundreds of engineering hours.

Lyft