CUX: The conversational experience that transforms AI interaction

A conversation with a chatbot can last just seconds, or it can turn into a frustrating loop of repeated questions. Sometimes the tool fails to understand the user’s intent; other times, it responds with excessive formality or can’t guide the interaction when something goes wrong.

A seamless experience relies on work that goes beyond programming. It requires defining how technology should interpret requests, formulate questions, acknowledge limitations, and guide users to a solution. This blend of language, design, and technology explains the growing interest in CUX.

What is CUX, and what is the role of a professional in this field?

CUX stands for Conversational User Experience. The field focuses on designing text- or voice-based interactions between people and technologies, such as chatbots, virtual assistants, and artificial intelligence agents.

A professional specializing in CUX may be called a conversational designer or a conversational experience specialist. Their responsibilities include mapping audience needs, creating dialogues, defining the assistant’s personality and tone of voice, and predicting what happens when the tool fails to understand a request.

Microsoft describes conversational experience as a form of interaction based on natural language, where people can communicate with digital services in a way similar to everyday conversation. For this to work, the tool must interpret different forms of expression and respond according to the context.

Why is this field becoming more important with AI?

As assistants capable of answering questions and performing tasks become more widespread, the quality of conversation directly impacts the user experience. A technically correct answer may not help if it is confusing, overly long, or inappropriate for the situation.

The work involves testing different dialogue paths, analyzing failures, and adjusting responses based on user behavior. Therefore, CUX combines skills in writing, research, user experience design, and understanding the capabilities and limitations of AI.

How can you prepare to work in CUX?

The field can attract professionals from UX, product design, communication, writing, linguistics, and technology. There is no single educational path: the required skills depend on the type of project and the company’s needs.

To get started, it is recommended to study principles of user experience, information architecture, and writing for interfaces. Creating conversation prototypes, testing scenarios where the assistant fails, and documenting improvements are ways to build a portfolio. Knowledge of AI tools and data analysis concepts helps evaluate the performance of interactions.

How can Saint Paul’s Pre-MBA in Artificial Intelligence help?

For those who want to expand their use of AI applications at work, Saint Paul’s Pre-MBA in Artificial Intelligence offers tools that can support research, information analysis, and content production. The training consists of four online practical classes—three recorded and one live—and covers about 20 tools, including ChatGPT, Claude, NotebookLM, ElevenLabs, and HeyGen.

Upon completion of the program, participants receive a certificate of completion and 30 days of access to Inner AI Pro, a paid platform that brings together more than 50 tools. The course fee is R$ 37.