Overview
Project: AI Interview Practice Tool
Role: Lead UX Designer
Platform: Monster Mobile App (iOS & Android)
Team: Product, Mobile Engineering
Tools: Figma, OpenAI, User Testing.com
The Opportunity
Many Monster users expressed anxiety about interviewing and wished for a way to practice in private before applying. We saw an opportunity to use AI to simulate interviews and offer structured feedback.
Our Goals
• Help users prepare for interviews based on actual job descriptions
• Improve user confidence and performance
• Drive re-engagement with the Monster app post-application
The Feature
We designed an AI-powered mock interview tool with the following flow:
• User selects a job they applied to (or is interested in)
• AI generates personalized interview questions based on the job title & skills
• User records their audio responses in-app
• AI evaluates their delivery, pacing, tone, and content
• Users receive a score + specific feedback + improvement tips
UX Challenges
• Encouraging users to try something high-friction (audio recording)
• Creating a non-judgmental, coaching-like tone in AI feedback
• Balancing detail and simplicity in the results screen
• Designing for privacy and control over recordings
UX Process Highlights
• Early concept testing validated user interest in “interview practice” but flagged performance anxiety — we emphasized that this was private, not shared
• Created progressive disclosure in the UI to ease users into the experience
Added features like:
• Re-record option before submission
• Toggle to pick a “difficulty level”
• Visual cue during AI “scoring” phase (animated waveform + loading)
• Worked closely with the AI team to ensure feedback categories were human-readable: e.g., “You used a lot of filler words — try to pause instead.”
Results (Initial Rollout Metrics)
• 18% of job applicants tried the tool within 72 hrs of applying
• 4.5 / 5 average rating for the usefulness of feedback
• 63% completed at least one full mock interview
• Re-engagement increased by 21% for those who used the tool
Reflection
This feature pushed me to think about AI not as a gimmick, but as a coach. We learned that users appreciated feedback, but preferred tone coaching and pacing tips over keyword/skill analysis. In future iterations, I’d explore:
• Adding a “review past interviews” feature
• Letting users choose focus areas (e.g., STAR method, confidence, articulation)
• Real-time coaching (e.g., “Try rephrasing that” mid-interview)
