Greenhouse × CarGurus
Greenhouse x CarGurus: Structured hiring cuts time-to-fill 18% as applications more than doubled
Time-to-fill reduced by 18%, scorecard completion from 40% to 98%
Ad hoc, underutilized tooling to structured, data-first hiring engine
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Why it works
The case study earns its metrics by grounding each result in a specific process change: scorecard adoption jumped from 40% to 98% because the team explicitly embedded criteria upfront and built accountability around completion. The 2.5x application surge provides an honest stress-test backdrop, making the efficiency gains more credible. The referral jump of 65% and candidate satisfaction lift from 4.1 to 4.6 add texture without overpowering the core efficiency narrative, though the story is a coin-flip between Efficiency and Breakthrough given both a number going down (time-to-fill) and numbers going up (referrals, satisfaction, scorecard adoption) feature prominently.
Steal this
Use a quantified before/after on a process-health metric (scorecard completion 40% to 98%) rather than relying solely on outcome metrics; it makes the mechanism visible and proves adoption, not just results.
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.