Human Capital Metrics Benchmarking Project

Human Capital Metrics Benchmarking Project Workforce Intelligence Group 23 January 2008

Should we collect workforce intelligence?

Why we should collect workforce data? • Workforce planning • Retaining talented workforce • Organisational performance • Boroughs ask for it!!!!! • Any more?

Background to the project • Previous incarnation PMPI Survey • Jan 2007 metric workshop • Human capital metrics handbook • Summer – Autumn 2007 – identified metrics and produced definitions.

The 16 Metrics

Data Collection • Quarterly • Excel spreadsheet • Benchmarking data

Survey Results – Most important metrics to organisation Top Five • Avg No. working days lost • Ethnicity as % of HC • Disability as % of HC • Cost of agency staff • Agency staffing rate Bottom Five • Promotion rate • Average age • Turnover by length of service • HR operating cost • Cost of absence

Questions? • Are we simply reporting what we can report? • Are external reporting requests (AC, ONS) dictating what we report?

Metric Focus – Promotion Rate • UK firms are providing too few opportunities for career development (ISR Research) • Career and development opportunities are the main reasons people leave employment (CIPD) Related measures: Promotion speed ratio,upward mobility, career path ratio

Survey Results – Populating metrics Least difficult • Gender as % of avg headcount • Ethnicity as % of HC • Turnover rate • Average age • Disabilty & Age as % of HC Most difficult • Promotion rate • HR operating cost • Cost of absence • Cost of HR per employee • Avg time taken to recruit

Issues • Response rates • Terminology/definitions Future • More boroughs involved • Use data for benchmarking • Data warehouse

Human Capital Metrics Benchmarking Project