3.1 Module 3 · AI for People Analytics

The Analytics Maturity Ladder

Understand the five levels of analytics maturity, assess where your organisation sits today, and map the capabilities you need to climb higher.

Maturity Self-Assessment Level Comparison Chart

Level Comparison Chart

Click any level to explore its capabilities, typical tools, and data requirements. The ladder builds on itself — each level requires the foundations below it.

Maturity Self-Assessment

Rate your organisation across five dimensions to determine your current analytics maturity level and identify the gaps holding you back.

Climbing the Ladder: What It Takes

Each jump between levels requires specific investments. Use this checklist to understand the prerequisites for reaching the next stage of analytics maturity.

Key insight: Industry research consistently shows that the vast majority of HR teams remain stuck at the descriptive analytics level — only around 9% have reached predictive capability. The gap is rarely about technology; it is about data quality, analytical skills, and leadership buy-in. The organisations that climb fastest focus on building foundations (clean data, cross-system integration) before investing in advanced AI tools.