Measuring specific data types and developing insight
5HR03 – Reward for performance and contribution
This CIPD Level 5 video explores how to measure specific data types and develop meaningful insight for reward strategy, directly addressing assessment criteria AC 3.2 in unit 5HR03 – Reward for performance and contribution. The content examines diverse sources of intelligence including earnings data, working hours, inflation metrics, recruitment trends, unemployment figures, pay settlements, and salary surveys, whilst evaluating the reliability and measurement approaches essential for effective benchmarking. By analysing government statistics, payroll data, and labour market information, learners discover how organisations can gather and interpret benchmarking data to inform strategic reward decisions. After watching, you'll understand how to critically assess data sources and measurement methods to develop actionable insights for your organisation's reward framework.
Assessment Criteria 3.2
Evaluate the most appropriate ways in which benchmarking data can be gathered and measured to develop insight.
Indicative Content
Sources of intelligence; evaluation, reliability and measurement of data; earnings, working hours, inflation, recruitment and vacancies; unemployment, pay settlements, bargaining and industrial disputes; reward and salary surveys, payroll data; government surveys, statistics and requirements.
What You'll Learn
Video covering: Measuring specific data types and developing insight
About 5HR03 – Reward for performance and contribution
This unit focuses on how internal and external business factors influence reward strategies and policies, the financial drivers of the organisation and the impact of reward costs and rewarding performance
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