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Conversation design

Conversation design is the practice of planning and specifying how users and conversational systems interact through language-based dialogue.

How 2 Manning books explain it

Natural Language Processing in Action, Second Edition

Conversation design is the practice of planning and specifying how users and conversational systems interact through dialogue.

How it is used
Guides chatbot teams from goal definition through dialogue planning, implementation choices, deployment feedback, and redesign.
How deep it goes
Explains planning stages, flow-chart elements, user research, and feedback loops, while stopping short of detailed algorithm implementation.
Examples
Uses Rori’s math-tutor onboarding, conversation diagrams, creative student replies, confidence-ranked utterances, and “This is too easy” handling.
What you can do after
Builds and iteratively improve chatbot dialogue plans by modeling states, anticipating intents, and responding to observed user behavior.

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Effective Conversational AI

Conversational design is the practice of structuring dialogue, interaction steps, and responses to support user goals.

How it is used
Simplifies conversational exchanges so users can reach successful outcomes with less effort.
How deep it goes
Explains flow simplification, trade-offs, prioritization, and progress signaling, but stops short of implementation detail.
Examples
Uses claim-search dialogues, agent requests, immediate claim details, fax options, and progress cues in multistep tasks.
What you can do after
Evaluate and improve conversational flows by reducing needless choices, prioritizing high-value changes, and signaling task progress.

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Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.