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Case Study: Intent Mapping Project

Project Objectives

For this project, I was the Sr. Content Strategist and worked with the product team to map intents to content to support the no dead ends strategy for day one of the Customer Space launch. This work includes identifying the best content approach for the intent, determining the right content to display on day 1, and making recommendations for future iterations.


This project is done in close collaboration with product and technical teams who are working to determine how we show the right content at the right time

Project goals

Evaluate the 1208 intents identified by Data Science and recommend the ideal content approach to meet that intent. The content approach will determine what kind of content we display to the frontline agents when a task they need to do supports that intent.


  • Create sample copy to illustrate the ideal content approach for each 1208 intents.
  • Create final copy for instructional cards that will act as placeholders for future paths and agentic assists.
  • Enable discoverability by determining how these intents should be organized and categorized in search and browse in the Customer Space of Celestial.


Research: Understand the information, the user and their needs

We really needed to understand what information was most important to the agents based on the customer intent. To do this we spend a lot of time researching what the best action is for each intent - and what was the information the customer needed. 

Analyze: What are the content formats

I put all of the intents into a relational database to sort, sift, and analyze. This allowed me to easily keep track of all 1200 intents.

Define: Content approaches

Next I set out to define what the possible content approaches are a) for MVE b) for Phase II and c) future considerations

Categorize: Defining the taxonomy

Results


  • Aligned content architecture and design decisions with Comcast's 'No Dead Ends' strategy, enabling AI agent readiness across internal and customer-facing support workflows.
  • Standardized content models to serve multiple channels and user types simultaneously (phone agents, retail staff, technicians, customers), reducing fragmentation and enabling multi-modal AI deployment.
  • Directed a comprehensive gap analysis for the Comcast Intent Mapping project to identify and rectify inaccurate or outdated support articles used by frontline agents.
  • Led taxonomy development for the Comcast Retail experience to support the Intent Mapping project, ensuring consistent content organization across digital and physical touchpoints. Delivered new streamlined taxonomy
  • Leveraged the Google Cloud Platform (GCP) Agent Development Kit to strategically structure frontline knowledge base information for Xfinity Mobile support teams.


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