Conversation Design
AI ChatbotsModule 01

Conversation Design

Intents, slots, dialogue flows, and UX principles.

Module Overview

Principles of conversational UX: intents, entities, dialogue flows, fallback strategies, persona and tone, and designing for discoverability and brevity. Students learn to script and test dialogue trees and mapping to prompts.

Learning Objectives

  • Create intent taxonomies and map sample utterances to intents.
  • Design dialogue flows including happy-path, edge-cases, and fallback paths.
  • Define persona and tone specifications appropriate for parent/student audiences.

Lesson-by-Lesson Breakdown

1

Intent discovery and example utterance collection.

2

Dialogue flow notation and mapping (state diagrams).

3

Slot filling and entity extraction patterns.

4

Persona specification and consistent voice control.

5

Fallbacks, clarifying questions, and graceful failures.

Hands-on Activities & Deliverables

Activities

Deliver a dialogue flow (diagram + sample transcripts) for a parent-helpdesk bot covering top 10 intents.

📦 Deliverable

Flow diagram, sample conversation transcripts, and persona spec.

Required Tools & Readings

Dialogue mapping templates, UX reading on conversational design.

Assessment & Rubric

  • Completeness of intent coverage35%
  • Clarity of flows35%
  • Persona & tone appropriateness30%

Prerequisites

None.

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Parent-Friendly Value

Ensures any built chatbot is predictable, helpful, and aligned to parental expectations.

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