Laura Wronski

Marketing teams rely on message testing to make critical decisions on strategy and resources. We will present a case study of how our team transformed our message testing workflows over the course of one year by applying new AI tools in a research setting: to streamline translation/localization, to help code our open-ended responses into benchmark-able statistics, to share insights more accessibly Key Takeaways: 1. We have greater analytical tools than ever before thanks to AI 2. Good uses of AI can make research communications more self-serve and customized within organizations 3. Agents are the future of project management