NVIDIA


AI-powered device care for NVIDIA

Role:

Lead UI/UX Designer

Timeline:

4 weeks

Deliverables:

AI support experience for MWC 2024

Problem Statement

Device support often relies on human assistance, increasing costs and wait times. NVIDIA needed to demonstrate how AI could autonomously diagnose and resolve common device issues while maintaining clarity, trust and usability.

Goals & Objectives

  1. Reduce reliance on human support channels

  2. Enable autonomous diagnostics and issue resolution

  3. Guide users toward self-service repair or trade-in

Research & Insights

  • Users want quick resolutions without contacting support.

  • Clear guidance reduces anxiety during technical issues.

  • Conversational interfaces can simplify complex troubleshooting.

Approach & Strategy

The experience was designed to make device support easier by guiding users through troubleshooting in a clear, conversational way. The goal was to help people resolve issues themselves while avoiding the frustration of traditional support processes.


Conversation flows were built around common problems, presenting the most important information first and guiding users step-by-step to prevent confusion.


Guidance adapted based on the device’s condition, helping users understand the best next step. If an issue couldn’t be resolved immediately, the experience provided clear options such as repair, trade-in, or contacting support without needing to repeat previous steps.


The interface combined conversational guidance with a clear visual layout, making instructions easy to follow and helping users complete tasks quickly.

Final Designs

A conversational AI support experience designed to simplify troubleshooting and enable faster, self-service device resolution.

Role:

Lead UI/UX Designer

Timeline:

4 weeks

Deliverables:

AI support experience for MWC 2024

© 2026 Daniel Annett

© 2026 Daniel Annett

© 2026 Daniel Annett