Packt
Conversation Design for Chatbots & Voice Assistants

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Conversation Design for Chatbots & Voice Assistants

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Apply natural language principles to create human-like interactions

  • Design systems that recognize and respond to user intent

  • Document and structure multi-turn conversational pathways

Details to know

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Recently updated!

November 2025

Assessments

11 assignments

Taught in English

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There are 11 modules in this course

In this section, we examine structured conversation design, outlining core designer responsibilities and demonstrating how organized dialogue, tone, and turn-taking optimize voice and chat experiences, boosting efficiency, confidence, and satisfaction.

What's included

2 videos2 readings1 assignment

In this section, we compare human and mechanical speech chains, analyze turn-taking signals-timing, overlap, repair-and examine cultural influences like accommodation, politeness, and code-switching to inform natural conversational system design.

What's included

1 video8 readings1 assignment

In this section, we connect interaction goals, personification depth, and power dynamics to design trustworthy AI personas, selecting tone and safeguards that avoid bias and support respectful, authentic conversations.

What's included

1 video8 readings1 assignment

In this section, we design concise voice UI prompts by selecting open, menu, or yes/no questions, ordering words precisely, and removing jargon to reduce cognitive load and increase response accuracy.

What's included

1 video9 readings1 assignment

In this section, convert user utterances to clear intents, add rich slots for fine-grained data, and apply iterative tuning to boost production Natural Language Understanding accuracy.

What's included

1 video6 readings1 assignment

In this section, we craft sample scripts to uncover user intents, translate them into audience-appropriate flow diagrams, and refine prompts to minimize NLU errors, ensuring aligned, reliable conversational designs.

What's included

1 video7 readings1 assignment

In this section, we map user memory tiers, temporal-spatial signals and device data to build adaptive, context-aware UIs, while defining ethical policies that protect sensitive information.

What's included

1 video8 readings1 assignment

In this section, we design multimodal conversational flows that synchronize speech with on-screen states, ensure accessible multichannel experiences, and coordinate multiperson, multisession interactions across devices and languages.

What's included

1 video7 readings1 assignment

In this section, connect market discovery to generative user experience (UX) research, craft low fidelity prototypes, run Wizard of Oz tests, and convert early feedback into clear, data backed design decisions.

What's included

1 video8 readings1 assignment

In this section, explore a step-by-step workflow for building and launching conversations, covering iterative design, team coordination, asset control, usability reviews, and data-guided testing.

What's included

1 video5 readings1 assignment

In this section, we surface implicit biases shaping design conversations and question 'edge case' assumptions, then apply codesign with diverse contributors to create inclusive, equitable product experiences.

What's included

1 video6 readings1 assignment

Instructor

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Packt
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