Exit Data, Decoded: A Repeatable Way to Read Why People Leave with AI

​It’s the end of the year, which means someone is about to ask you why people are leaving. And if your exit data is spread across survey exports, interview notes and a spreadsheet nobody has opened in months, there’s a question you might be avoiding: “what is this actually telling us?”

​Most HR teams collect exit data. Very few have a simple, repeatable way to make sense of it. Keyshawn does, and AI does most of the heavy lifting. In this session she’ll show how she turns raw exit interviews and survey comments into clear themes, trends and talking points. She uses a process you can run again next quarter without starting from scratch.

​Come with the exit data you’ve been meaning to dig into. Leave with a repeatable way to turn it into insights your leaders will actually act on.