Project 1: Understand the Operational Challenge

I examined the operational challenges faced by Amazon, focusing on employee retention issues and the factors contributing to new hire turnover before Day 90.

Project 3: Find Sentiment & Keyword Patterns in Employee Voice Data

I analyzed employee voice data to identify sentiment and keyword patterns, revealing insights into the workforce's overall feelings and concerns.

Project 5: Segment the Workforce & Identify Priorities

In this project, you’ll segment the workforce into meaningful cohorts—by role, tenure, shift, and more—and identify which groups are most affected by recurring pain points. You’ll move beyond individual feedback to uncover patterns at scale, just like consultants do when shaping workforce strategy. [Week] 7

Project 2: Collect & Clean Employee Voice Data

I collected and cleaned data from various employee reviews, ensuring that the information was ready for analysis and actionable insights.

Project 4: Uncover Themes & Root Causes in Employee Voice Data

I employed AI tools to uncover major themes in employee feedback, visualizing sentiment variations and mapping cause-effect patterns to identify root causes of employee frustrations.