Measuring Recruitment Metrics in HR Practice: An Empirical Study with Reference to Multilink Management

Dr. N.Venkateswaran1 Poovarasan K2

Department of Management Studies, Panimalar Engineering College Affiliated to Anna University, Chennai – 600 123, Tamil Nadu, India

ABSTRACT:This study examines the measurement and utilization of various recruitment metrics by HR practitioners, with empirical reference to Multilink Management, a recruitment and HR consulting firm. The central objective is to assess how key performance indicators — namely time-to-hire, cost-per-hire, quality of hire, offer acceptance rate, and source of hire — contribute to recruitment effectiveness and data-driven decision-making. A descriptive research design was employed, and primary data were collected from 120 respondents using a structured questionnaire. Statistical tools including percentage analysis, the Kolmogorov–Smirnov normality test, chi-square test, and Pearson correlation were applied for data analysis. Findings indicate that the majority of HR professionals actively track and utilize recruitment metrics for organizational decision-making. Quality of hire emerged as the most widely used and valued metric. Key challenges identified include inaccurate data, insufficient analytical tools, and limited training. The study concludes that systematic adoption of recruitment metrics significantly enhances hiring efficiency, reduces costs, and supports evidence-based HR management.Keywords: Recruitment Metrics, HR Analytics, Quality of Hire, Time-to-Hire, Cost-per-Hire, Data-Driven Recruitment, Human Resource Management