Most recruiter productivity metrics measure activity: resumes screened, interviews scheduled, requisitions open. These numbers tell you how busy the team is, not how effective it is. A recruiter who screens 100 resumes per week and fills roles that have 50% attrition in 12 months is less productive than one who screens 40 resumes and fills roles where 90% of hires are still with the company and rated high-performing. The metrics that connect recruiter performance to business outcomes measure quality and impact, not just volume.
The Eight Metrics That Matter
- Time-to-fill: Days from requisition approval to offer acceptance. Target varies by role complexity — set benchmarks by role type, not one number for all.
- Offer acceptance rate: Offers made ÷ offers accepted. Below 75% signals compensation competitiveness or candidate experience issues.
- 90-day retention rate: Percentage of hires still employed at 90 days. Below 90% is a quality-of-hire signal.
- Hiring manager satisfaction score: Quarterly survey rating of recruiter partnership quality. This is the customer NPS for the recruiting function.
- Pipeline conversion rate: At each stage — identifies where qualified candidates are lost in your process.
- Cost per hire: Total recruiting spend ÷ hires made in the period. Track trend over time, not just point-in-time value.
- Source quality rate: Hires by source that pass 90-day mark ÷ total hires from that source. Shows which channels produce durable hires.
- First-year performance rating distribution: The ultimate quality-of-hire metric — what percentage of last year's hires are rated above expectations in their first annual review?
Space HR's talent intelligence dashboard tracks all eight metrics in one view, automatically connected to your hiring data. See how recruiter productivity metrics work in Space HR.
Read the full guide: AI Recruitment Workflows Guide.