Greenhouse × Lyft
Greenhouse x Lyft: Scaling hiring from 2,500 to 4,500 with structured recruiting
35% reduced interview time per hire, from 46 to 30 hours
Untrusted data and chaos to reliable, real-time hiring insights
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Why it works
The case study earns its Efficiency tag by leading with a concrete set of numbers going down: interview hours cut 35%, reporting time halved, and scorecard turnaround tightened. The before-state is specific and credible, detailing 1,200 referral sources and data kept outside the ATS entirely. There is a genuine secondary Breakthrough thread in headcount growth from 2,500 to 4,500 in under a year, but the framing leads with process gains, so Efficiency is the correct primary.
Steal this
Pair a hard-number before-state (46 hours of interviews per hire, 1,200 referral sources) with a matching hard-number after-state (30 hours, 96% adoption) so readers can immediately calculate the gap themselves.
Click to enlarge ↗ This is editorial commentary and curation. The case study, screenshot, and all metrics are Greenhouse's published work; we link to the source and lead with our analysis.