Business Context

Meta's Strategic Sourcing team is scaling hiring for technical and leadership roles across Reality Labs, Infrastructure, and AI. Over the last two quarters, leadership has seen inconsistent sourced-hire output even though recruiter activity in Meta's internal recruiting systems has increased.

Metric Scenario

In the most recent quarter, sourcers added 4,800 prospects into the pipeline, up 20% quarter over quarter. However, only 290 sourced candidates reached onsite, down from 340 last quarter, and sourced hires fell from 78 to 61. Median time from first outreach to recruiter screen increased from 9 days to 14 days. Response rates also varied sharply by function: AI Research prospects responded at 18%, Infrastructure at 27%, and Product Leadership at 11%.

The Head of Recruiting Operations asks you: What three metrics would you track to monitor the health of Meta's strategic sourcing pipeline, and how would you define them so the team can diagnose whether issues come from top-of-funnel volume, candidate engagement, or downstream conversion?

Requirements

1. Propose the three most important pipeline health metrics for Meta's strategic sourcing funnel.
2. Define each metric precisely, including numerator, denominator, and time window.
3. Explain why each metric is a leading or lagging indicator of sourcing performance.
4. Show how you would use the three metrics together to diagnose a decline in sourced hires.
5. Identify key cuts or segments you would review before escalating to recruiting leadership.

Data Available

• Meta recruiting CRM / ATS records for sourced candidates and stage transitions
• Outreach logs from recruiter messaging tools tied to candidate IDs
• Candidate response events, interview scheduling events, and offer outcomes
• Requisition metadata including role family, level, region, and hiring team