Conversation Design Basics for AI Products

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Conversation Design Basics for AI Products Reviews & Product Details

This course moves beyond writing individual chatbot messages toward designing full conversational systems, mapping user intents, designing assistant responses that guide users forward, building repair strategies for misunderstanding and errors, and deciding when a system should ask, retry, explain limits, or escalate to a human. Across 5 live sessions, 66 lessons, and 14 projects, students build reusable frameworks for intents, turns, flows, repair paths, and escalation moments, explicitly positioned as a first step into Agentic UX Design.

Best For

Those entering Agentic UX design Product, CX, and AI team members Existing conversation designers and chatbot practitioners Product, CX, and AI team members

Not For

Those uninterested in AI-specific applications People wanting a fully self-paced format Those wanting purely visual UI design training Complete beginners to UX or product design

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About the Creator

Dr. Carmen Martinez

Dr. Carmen Martinez is a Berlin-based Conversational AI and Agentic UX strategist with a PhD in Applied Linguistics (Conversation Analysis) and 8+ years designing AI-powered customer experiences. She's worked on production systems for Deutsche Telekom, Flix (FlixBus), and Philip Morris International, and now teaches Conversation Design Basics for AI Products, a hands-on Maven course bridging linguistics and Agentic UX.

Berlin, GermanyTechnology & UX Design

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Contact

Contact form: maven.com/dr-carmen-martinez/conversation-design-basics-for-ai-products

Address: Berlin, Germany

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