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CIPD Level 55HR03AC 3.2

Sources of benchmarking data for reward professionals

5HR03Reward for performance and contribution

Written by the People Study Pro CIPD content teamPublished Updated

This CIPD Level 5 learning video explores sources of benchmarking data for reward professionals studying 5HR03 – Reward for performance and contribution, directly addressing assessment criteria AC 3.2. The video examines how to evaluate the most appropriate methods for gathering and measuring benchmarking data, covering essential intelligence sources including salary surveys, payroll data, government statistics, and labour market indicators such as earnings, recruitment trends, unemployment rates, and pay settlements. By analysing the reliability and measurement of these diverse data sources—from industrial disputes to inflation metrics—learners develop the insight needed to make informed reward decisions. You'll gain practical knowledge of which benchmarking sources are most relevant for different organisational contexts and how to critically evaluate their effectiveness in your reward strategy.

What this video covers

Reward benchmarking sits at the heart of AC 3.2 within 5HR03, and this video works through the landscape of data sources that reward professionals draw on when assessing pay competitiveness and developing insight. The video covers commercial salary surveys produced by specialist consultancies, professional bodies including CIPD, and industry associations, examining how job-matching methodology, medians, quartiles and percentiles function within those surveys, and where their limitations around cost, publication timing and participation bias arise. Alongside these, the video addresses the sector-specific surveys run by professional and industry bodies, considering how selection bias and variation in methodological rigour affect their usefulness.

Government-produced labour market statistics occupy a significant portion of the video. The Office for National Statistics features prominently, with the Annual Survey of Hours and Earnings (ASHE) and the Labour Force Survey both named and contextualised as sources of earnings, employment, unemployment and occupational data. Inflation measures — specifically the Consumer Price Index and the Retail Price Index — are also covered, as are the trade-offs between the consistency and breadth of official statistics and the granularity that reward professionals often need when benchmarking specialist roles.

Two further sources addressed in the video distinguish it from a purely survey-focused treatment of the topic. Internal payroll data is examined as a starting point for benchmarking, including compa-ratio analysis, pay distribution across grades and departments, progression through pay ranges, and equal pay considerations. Recruitment and vacancy data — drawn from job boards, competitor advertising and recruitment agencies — is presented as a source of real-time market intelligence, with the video also noting the interpretive caution required when working with advertised salary ranges. Across all five source types, the video frames evaluation, reliability and the principle that no single source yields a complete picture as central concerns for reward professionals working at this level.

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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: Sources of benchmarking data for reward professionals

About 5HR03Reward for performance and contribution

CIPD Level 5
5HR03
Learning Outcome 3

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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