Key areas of data measurement in people practice - Part two
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 help you understand different types of data measurements that people professionals use. Covering assessment criteria AC 1.3, the video examines 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, wellbeing, and organisational policies. You'll discover how various forms of information enable effective decision-making within organisations and support strategic people practice. By watching this video, you'll gain the knowledge needed to explain and apply different data measurement approaches in your HR role.
What this video covers
Across learning and development, employee voice, diversity and inclusion, and wellbeing, this video addresses the second cluster of data measurement areas that people professionals need to understand for Unit 3CO02. It focuses on AC 1.3 and builds directly on a preceding video, extending the range of quantitative and qualitative data types that organisations collect and use to inform decision-making.
On the learning and development side, the video covers skills gap analysis results, training completion rates, learning hours per employee, cost of training per employee, skills inventory data, certification achievements, and return on investment calculations, alongside qualitative evidence such as learner feedback, manager observations, and behaviour change assessments. For employee voice, it addresses engagement scores, employee Net Promoter Score (eNPS), pulse survey trends, response rates, grievance data, suggestion scheme participation, and the qualitative insight drawn from open-ended survey comments and focus groups. Diversity and inclusion data receives detailed attention through workforce composition by protected characteristics, representation at different organisational levels, gender and ethnicity pay gaps, application and appointment rates by demographic group, promotion rates, and inclusion-specific survey measures covering belonging, employee network participation, and exit interview responses.
The wellbeing section examines mental health-related absence data, employee assistance programme usage, stress risk assessment results, working hours and overtime patterns, workload survey questions, and the qualitative material that emerges from focus groups and written employee feedback. Running across all four areas is the distinction between quantitative metrics and qualitative data, and the video returns to considerations of relevance, reliability, timeliness, context, and audience as factors that shape how data is interpreted and presented to senior stakeholders.
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 two
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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