Key areas of data measurement in people practice - Part one
3CO02 – Principles of analytics
This CIPD Level 3 video, part of unit 3CO02 – Principles of analytics, explores key areas of data measurement in people practice to satisfy assessment criteria AC 1.3. It examines different types of data measurements that people professionals use, covering both qualitative and quantitative data across critical HR domains including resourcing, absence and turnover, performance and reward, L&D skills and competencies, employee voice, diversity and inclusion, and wellbeing. By watching this video, you'll understand how organisations leverage various forms of data to enable effective decision-making and inform strategic people practices.
What this video covers
Covering the first of the key data measurement domains within 3CO02 Principles of Analytics, this video addresses Assessment Criterion 1.3 by walking through three substantial areas of people data: resourcing, absence and turnover, and performance and reward. Each area is examined in terms of both the quantitative metrics and qualitative information that organisations routinely collect, reflecting the broader distinction between numerical and non-numerical forms of data that underpins the unit.
Within resourcing, the video covers specific metrics including time to hire, cost per hire, application volumes, offer acceptance rates, and source effectiveness across channels such as job boards, referrals, and social media, alongside qualitative information such as candidate feedback and hiring manager satisfaction. The absence and turnover section introduces the absence rate, frequency rate, and the Bradford Factor as a tool for weighting short-term absence patterns, as well as the distinctions between voluntary and involuntary turnover and between regretted and non-regretted turnover. Qualitative data from return-to-work interviews, exit interviews, and stay interviews is also addressed as part of this area.
The performance and reward section examines rating distributions, objective achievement, and productivity measures alongside the compa-ratio as a method for comparing individual salaries against pay band midpoints. Pay gap analysis across groups defined by gender or ethnicity, benefits take-up rates, and total reward costs as a proportion of revenue are all named as relevant measurements. Throughout all three domains, the video considers how quantitative and qualitative data interact to support evidence-based decision-making in people practice.
Assessment Criteria 1.3
Explain different types of data measurements that people professionals use.
Indicative Content
Various forms of data (qualitative and quantitative) and other types of information that can be used within organisations to enable decision-making. For example, data on resourcing, absence and turnover, performance and reward, dismissals, L&D skills and competencies, employee voice, diversity and inclusion, wellbeing, change agendas, and policies and practices.
What You'll Learn
Video covering: Key areas of data measurement in people practice - Part one
About 3CO02 – Principles of analytics
This unit looks at how people professionals make both straightforward and complex choices as they carry out their roles. It focuses on how utilising a diverse range of analytics and evidence is essential to the rationalisation and enhancement of working practices and situational decision-making to create value.
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Key areas of data measurement in people practice - Part two
AC 1.3 – Explain different types of data measurements that people professionals use.
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