Designing an end-to-end AI interview experience
From role discovery to behavior-changing feedback — shipped under real startup constraints
Role & Scope
• Sole UX Designer (Mobile + Desktop)
• End-to-end ownership: discovery → execution → iteration
• Direct collaboration with founder & engineers
Product
• Lemmino — AI interview & role-play platform
• B2B SaaS (sales & customer-facing roles)
The Core Problem~
AI interview platforms evaluate performance well, but fail at guiding improvement — especially after failure, where feedback often feels final and discouraging.
Impact & Outcomes~
• Designed the core interview and feedback experience used across all AI roles
• Shipped designs that moved into active development with engineers
• Defined post-interview states (fail / partial / success) to prevent user drop-off after & reduce discouragement
*This was a real product with real users — not a speculative concept project.
Lemmino is a real AI interview platform where I owned end-to-end UX decisions under ambiguity, business constraints, and evolving technical limitations — with a specific focus on post-interview feedback across success, partial success, and failure.