Gain the insight and clarity you need to stop guessing your way through automated conversations with customers.
Data is the key to eliminating the guesswork in conversational design and user experience. But it is not always easy to make sense of all the information, apply it correctly and use it to craft specific robust guidelines.
In this webinar Dr. Cameron Taylor, head of the boost.ai UX Research Program, will illustrate how to interpret data collected from automated conversations and apply it to making better design decisions for virtual agents and chatbots.
Key takeaways
In this 60-minute webinar you will learn how to make sense of data to design effective conversations for your virtual agent.
- Learn why an evidence-based approach is necessary
- Study examples of findings derived from real-life conversations
- How to pull actionable insights from a set of data