liveBook · Manning

User experience

As explained in Effective Conversational AI

User experience is the overall quality of a person's interaction with a product, service, or system, including how natural and easy the interaction feels.

User experience is how natural, easy, and valuable an interaction feels to the person using it. In conversational AI, a good experience saves time and effort; a poor one can frustrate users, prompt them to leave, or send them to support. section 1.1.1 section 8.0

Design and assess the interaction from the user’s perspective:

  • Use available context and reasonable assumptions to help users reach their likely goal without unnecessary questions. section 1.1.1
  • Watch for rising opt-outs and support escalations, falling task completions, and lower satisfaction scores as signs of excessive complexity. section 8.1.2

A claim-status call

After finding a caller’s claim, a virtual assistant asked whether to read or fax the details. Many callers asked for an agent, though few wanted a fax. The improved flow read the claim details first and offered a fax afterward, reducing friction while preserving the option. section 8.1.2

Figure 1.1 A painful chat experience with a process-oriented bot that puts cognitive burden on the user. The AI has not provided any value in three conversational turns.
figure

See how a process-oriented flow can burden users without providing value across several turns. section 1.1.1

Figure 1.2 A delightful experience that uses context and reasonable assumptions to complete the user’s goal quickly. The context could be loaded from a log-in process (chat) or from the caller phone number (voice).
figure

Compare a context-aware flow that uses reasonable assumptions to complete the user’s goal more quickly. section 1.1.1

How Effective Conversational AI covers it

How deep it goes
Compares burdensome and improved flows and links complexity to business metrics, without detailing a full evaluation method.
Examples
Uses claim-status calls to contrast unnecessary choice with immediate answers, and a banking chatbot to illustrate missed personalization.
What you can do after
Evaluate conversational flows by spotting user burden and tracking opt-outs, escalations, task completion, and satisfaction.
How it connects
Connects user experience with conversational AI, context, personalization, complexity, and self-service outcomes.

Also explained in

Compare how 11 books explain user experience →

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Effective Conversational AI. The section links point to the parts of the book it draws on.