Recruitment analytics and process improvement in talent acquisition: A case study of a manufacturing company

Author

Aishwarya Nikhal


Abstract

 Recruitment data in large manufacturing firms is often scattered, hiding where hiring pipelines lose candidates. This paper uses a five-month internship in the Talent Acquisition function of a large automotive components manufacturer in India to examine the hiring funnel across three channels: external agencies, employee referrals and campus drives. Simple spreadsheet trackers were built to measure agency performance, referral conversion, gender diversity, offer decline and campus conversion. Findings show that all five agencies met volume targets but had 50–68% hiring-manager rejection against a 30% limit; 95 of 98 referral actions stalled after acknowledgement; women’s conversion trailed men’s from the first funnel stage; and only 3% of candidates declined offers. The funnel therefore leaks at sourcing and shortlisting, not at the offer stage. The paper recommends a profile-quality screen for agencies, a time-bound follow-up step for referrals, and earlier criteria-based filters in campus hiring.



Keywords

Talent acquisition; recruitment analytics; recruitment funnel; agency scorecard; employee referral; campus hiring



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References


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