Christi Guzik works as a Lead Content Operations Manager at Rocket. Prior to Rocket, she held a Content Strategist position at DocuSign focusing on content quality initiatives and improving processes across Content Design and Technical Writing. Additionally, she worked at Boomi where she established the content design discipline and as a Technical Writer at IBM’s Silicon Valley Lab, focusing on DITA migrations and developing effective UX content to modernize a mainframe database. She holds a bachelor’s degree in Technical Writing and Communication and a master’s degree in Professional Writing from Carnegie Mellon University.

In her spare time, Christi serves as a facilitator and volunteer manager for Delta Delta Delta fraternity and enjoys reading, baking, watching Broadway musicals on trips to New York City, and exploring the museums and historical sites in and around Philadelphia.

Data Design is Content Design. Building a Scalable Taxonomy

In today’s highly competitive industry landscape, user and customer data becomes even more important. But, many times, that data ends up an ever-growing, inconsistent mess. It’s built by individual data analysts or engineers who don’t start with a cohesive, consistent strategy for their data. It’s time for content practitioners to get a seat at the data design table and use our innate ability to create and build structured language systems. Join this session to learn how I began this process to centralize the taxonomy design for our data needs and built out a content discipline superpower as part of the regular data design and implementation process.

In this session, attendees will learn and leave with:

• What exactly is a taxonomy
• Why it’s important for data analytics
• How to build out a data taxonomy
• How to develop a process to enable all content designers to design taxonomy