Hiring Metrics That Actually Matter
Time-to-hire is a vanity metric. The real numbers — quality-of-hire, source-of-hire ROI, pass-through rates, and how to instrument them in your ATS.
Eight metrics that predict whether your hiring engine is actually working — and how to wire them into your ATS without a data warehouse, a data scientist, or six months of work.
The vanity metrics to stop watching
Three numbers absorb a disproportionate share of weekly TA meetings and predict almost nothing about hiring outcomes:
- Time-to-hire. Compresses into a single number a process whose stages all have different drivers. Useful only when you decompose it.
- Applications per posting. A high number can mean strong demand or a vague JD. A low number can mean a niche role or a misaligned channel. Without context, uninterpretable.
- Cost-per-hire as a portfolio average. Means nothing without source breakdown. Referrals are nearly free and ten times higher quality; agency hires aren't. The average obscures both.
The eight metrics that actually move
- Quality-of-hire by source. Six-month performance review, regretted-attrition rate, or hiring manager-attested fit, tracked back to the source the candidate came from. The single most important number in TA.
- Pass-through rate at each stage by source. Which sources convert at recruiter screen? At onsite? At offer? Optimize your spend accordingly.
- Stage cycle time. Hours candidates spend waiting at each stage. The number to attack first.
- Offer-acceptance rate. If this falls, your competitive intel is stale or your CX is bad. Investigate.
- 90-day regret rate. How many hires leave or underperform within 90 days. Your screening rubric's report card.
- Diversity pass-through. Same as the bias-guide funnel, watched weekly.
- Interviewer load. Hours per interviewer per week. Outliers correlate with rubric drift and burnout.
- Pipeline-to-hire ratio. How many top-of- funnel candidates do you need to close one offer? When this climbs, your funnel is leaking.
The dashboard you can build this week
You do not need a data warehouse. Eight SQL queries against your ATS, refreshed nightly, plotted on a single page with a date filter. Most teams can ship this in a week of focused engineering time. If your ATS doesn't expose the data needed to write those queries, your ATS is the bottleneck, not your team.
More from Playbooks
The Consent-First Recruiting Playbook
How modern hiring teams build pipelines candidates actually want to be in — the legal mechanics, the messaging, and the workflow changes.
Running a Remote-First Hiring Operation
Async-default interview loops, work-sample assessments that don't feel like unpaid labor, and how to compensate fairly across geographies.
Build a consent-first hiring pipeline today.
Most of what you just read is built into SourceHire's free plan. Try it without talking to a salesperson.