Conversation Design Basics for AI Products

Create basic flows for user goals, system responses, clarification, repair, and escalation.

Map what the system should do when users are unclear, incomplete, frustrated, or off-track.

Turn messy user language into structured intents, user goals, and system responsibilities.

Connect personas, needs, and intents to real product outcomes instead of abstract chatbot categories.

Design turns that acknowledge, clarify, confirm, answer, redirect, or hand over at the right moment.

Use tone, rhythm, and structure to make conversations feel natural without becoming vague.

Design repair strategies for misunderstood requests, missing information, failed answers, and repeated friction.

Decide when the system should ask, retry, explain limits, or escalate to a human.

Learn why conversation design is the first layer of designing systems that act, decide, remember, and use tools.

Identify the behavioral logic behind useful AI assistants, copilots, voicebots, and agentic systems.

Leave with reusable frameworks for intents, turns, flows, repair paths, and escalation moments.

Explain your conversation design decisions clearly to product, CX, engineering, and AI teams.