Decode HR Metrics

Overview

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Can you explain what 'turnover rate' actually means—and calculate it correctly? This course teaches you to use fundamental HR metrics like headcount, turnover rate, and average tenure, then calculate them using Excel formulas. You'll learn why metric definitions matter—the same number can mean different things to HR, Finance, and Operations—and how small definition choices change everything. You'll practice calculating turnover rate and average tenure from a realistic 50-row employee dataset using COUNTIFS and AVERAGE. Using AI tools like ChatGPT, you'll draft plain-language summaries for stakeholders and learn to verify that AI outputs match your actual numbers. Through realistic role plays where you defend your metrics to a skeptical board member and coach dialogues where you navigate competing definition demands, you'll build the foundational analytics skills every HR professional needs. Basic spreadsheet familiarity helpful. Access to free ChatGPT or Claude recommended.

Syllabus

Applying HR Metric Definitions

In this module, you'll use your understanding of why precise metric definitions matter—and what goes wrong when HR, Finance, and Operations each define 'turnover rate' differently. Through a discovery role play and real-world examples such as the Wells Fargo scandal, you'll experience the confusion that vague definitions create, then learn exactly what headcount, turnover rate, and average tenure mean through practice activities, an Excel demo, and a coach dialogue.

Calculating and Analyzing Metrics in Excel

In this module, you'll apply calculation techniques and analyze the results. Using a 50-row employee dataset, you'll build formulas with COUNTIFS and AVERAGE to compute turnover rate and average tenure—then learn to document and communicate your findings using AI assistance. Through practice activities, a capstone role play, and a graded assessment, you'll prove you can go from raw data to stakeholder-ready insights.