Lesson 1 of 3•AI for HR Analytics & Reporting0 of 3 complete (0%)
15 min read
Building a People Analytics Framework
What you'll learn
- 1Design a people analytics framework aligned to business priorities
- 2Identify the metrics that matter most at each organizational level
- 3Use AI to define KPIs, data sources, and refresh cadences
From Data Collection to Decision Support
Most HR teams track dozens of metrics but influence few decisions. The problem is not data — it is relevance. A people analytics framework must start with the questions leadership actually asks:
- "Why is engineering turnover spiking?"
- "Are we hiring fast enough to hit Q3 targets?"
- "Is our DEI investment producing results?"
- "What is the ROI of our L&D programs?"
The Decision-First Framework
Step 1 — Map Business Priorities to People Questions
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Our company's top 3 business priorities this year are:
1. Scale engineering from 80 to 130 (65% growth)
2. Reduce voluntary attrition from 22% to 15%
3. Launch in 2 new markets (EMEA, APAC)
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What you'll learn:
- Design a people analytics framework aligned to business priorities
- Identify the metrics that matter most at each organizational level
- Use AI to define KPIs, data sources, and refresh cadences