Make Data Decisions

Overview

Two candidates. One promotion.

How do you decide—and defend your choice? This course teaches you to explain why performance score, tenure, and potential rating each matter for promotion decisions—and why relying on any single input leads to costly mistakes.

You'll build a weighted decision matrix that makes trade-offs explicit and defensible. You'll also learn to use AI tools like ChatGPT to draft plain-language recommendations, then verify the AI's output matches your actual data.

Through realistic role plays where you present to a promotion committee and coach dialogues where you navigate political pressure, you'll practice making evidence-based decisions that hold up to scrutiny. Designed for HR professionals and team leads.

Basic spreadsheet familiarity helpful. Access to free ChatGPT or Claude recommended.

Syllabus

• Understanding Promotion Decision Inputs
In this module, you'll apply your understanding of why gut-feel promotions fail and what data inputs actually predict success in a new role. Through a discovery role play, you'll face a promotion decision where your instinct conflicts with the data—then learn why performance score, tenure, and potential rating each tell a different part of the story.
• Building and Using a Decision Matrix
In this module, you'll move from understanding inputs to making defensible decisions. Using a weighted decision matrix, you'll compare two promotion candidates, apply organizational weights, and learn to communicate your recommendation using AI assistance—while ensuring your reasoning is transparent and verifiable.

---

Taught by

Coursera Support and Ritesh Vajariya

---

Subjects

Business