Context
Consultant leading UX for a customer service platform migration to Amazon Connect — spanning IA, user flows, wireframes, final mocks, and a Figma component library.
Problem
A client's existing customer service system lacked the AI capabilities needed to reduce guest chat wait times and improve satisfaction. A platform migration was required, but multiple companies and time zones made alignment difficult.
Options Considered
Extend the existing system with limited AI bolt-ons, or migrate fully to Amazon Connect to unlock advanced AI capabilities including AmazonQ for unknown responses and bot-to-agent handoffs. The migration was the only path to meaningful wait time reduction.
Trade-offs
Full migration introduced scope risk in a compressed timeline. Gap Analysis exercises were used to align stakeholders across organizations on required capabilities before any design work began, reducing late-stage rework.
Outcome
Delivered user flows, wireframes, and a Figma component library that enabled developers to build and deploy the right capabilities reducing SMS chat resolution time by 1–2 minutes per interaction.
What I'd do next:
Validate that the Gap Analysis approach effectively captured all required capabilities by running a post-launch review with stakeholders across the participating companies, and use any gaps found to refine the cross-company alignment process for future milestones.
Slideshow
Sample Guest Chat UI (Slideshow)
Agent-facing chat capabilities
Manage multiple guest chats
Complete or transfer chats
Stop receiving new chats
Timeout notifications
Guest reservation details
Non-English translations
Search and paste known responses
AmazonQ AI for unknown responses
Flag chatbot responses for AI training