A Study on Measuring Various Recruitment Metrics Adopted in Buzzworks

Varsha R

Reg. No. 2114246310208

M.B.A. Candidate, Department of Management Studies, Panimalar Engineering College

Anna University, Chennai – 600 123, India

Dr. N. Venkateswaran B.E., M.B.A., Ph.D.

Dean & Professor, Department of Management Studies, Panimalar Engineering College

ABSTRACT:This study examines and evaluates the effectiveness of various recruitment metrics adopted by Buzzworks Business Services Private Limited. In today’s competitive business environment, organizations increasingly rely on data-driven recruitment strategies to improve hiring efficiency, reduce costs, and enhance candidate quality. The study specifically analyzes key metrics such as time to fill, cost per hire, quality of hire, and source of hire, and explores their relationship with overall recruitment performance and employee retention. A descriptive research design was adopted, using both primary and secondary data. Primary data was collected from 169 respondents working in HR and recruitment roles through a structured questionnaire, and the data was analyzed using statistical tools such as descriptive analysis, Spearman’s rank correlation, and the Kruskal-Wallis test. The findings indicate that recruitment metrics are widely used within the organization, with quality of hire emerging as the most significant factor. The results also show a moderate positive relationship (r = 0.568) between effective data tracking and employee retention. However, the study identifies several challenges, including time-consuming data collection, difficulty in measuring quality of hire, and limited reporting tools, which affect recruitment efficiency. The study concludes that strengthening recruitment metrics and implementing improved data tracking systems can significantly enhance recruitment performance and contribute to long-term organizational success.Keywords: Recruitment Metrics, Quality of Hire, Time to Fill, Cost per Hire, Sourcing Channels, Spearman’s Correlation, Kruskal-Wallis Test, Staffing Industry, HR Analytics, Employee Retention