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UX CASE STUDY / AI INTERVIEW PREP

AI Interview
Preparation.

An approachable preparation platform engineered to help candidates simulate live interviews, gain confidence, and receive intelligent real-time feedback.

"How would you approach scaling this system for high-concurrency requests?"
A. Horizontal load balancing with stateless microservices
B. In-memory distributed caching & queue throttling
C. Vertical single-server resource scaling
D. Asynchronous background event-driven pipeline

The challenge

Traditional mock interviews are high stress and hard to schedule. Candidates needed a low-friction, supportive space to practice whenever they want.

AI-assisted feedback

Instant breakdown of candidate responses, highlighting clarity, structure, and depth with actionable tips for improvement.

Adaptive progression

Dynamic difficulty scaling based on candidate performance to guarantee consistent learning momentum.

Role

Product architecture, user experience design, interactive prototype development, and visual design system.