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WORKFORCE ANALYTICS

Client: An HR consulting firm partnering with a mid-sized technology company to optimize team sizes, benchmark workforce metrics, and manage attrition
Business need: Develop benchmarking insights comparing team sizes, role distribution, and attrition rates against four competitors. Additionally, build a predictive attrition model to identify high-risk employees

Identified relevant competitors and established key benchmarking criteria.

Consolidated and analyzed employee headcount by role (e.g., engineering, data science, product management)

Conducted comparative analysis to analyze industry average deviations

Benchmarked attrition trends by role and tenure, uncovering heightened turnover risks in engineering and sales

Developed a machine learning-driven attrition model, incorporating client-specific data (e.g., tenure, performance, compensation)

Improved accuracy using industry attrition patterns, pinpointing at-risk roles and employees likely to leave within 6–12 months

Provided targeted retention recommendations, including career development programs, compensation adjustments, and engagement initiatives

Optimized team sizing: Adjusted hiring strategies for key roles in data science and engineering, aligning team structures with industry standards.
Reduced attrition: Targeted retention efforts for high-risk roles led to a significant decline in turnover within six months.
Empowered workforce planning: Equipped the HR consulting firm’s tech client with data-driven strategies to anticipate attrition and optimize resource allocation.