Our goal is to make data make sense to everyone in the company, and we're exploring new ways to structure our analytics events to achieve this. We've moved from a flat list of event names to a reusable and structured set of categories, using Action, Object, Place, and Owner to better understand interactions and identify reactive and proactive behaviors. This new approach allows us to see events not just as flat, disconnected moments, but as rich, 360-degree interactions. With this structure, we've reduced the number of required events from 500 to just one owner, 8 actions, 9 objects, and 2 places, making it easier for product teams to improve their products and better understand customer behavior. By making our data democratic, we're empowering engineers and product managers to analyze raw data themselves, which has led to interesting questions and insights that can inform product decisions.