AI Interview Training Platform
A training platform that offers a set of AI-based interview tools to help job seekers land their dream job.
Role: Product Lead
Problem Statement
Job seekers need a more personalized learning experience and real-time feedback to truly feel confident and ready for their interviews.
Goal Statement
The goal is to make the app a more personalized and engaging tool that truly supports job seekers on their journey to landing their dream job.
While the app has successfully supported job seekers with a variety of tools like expert video lessons, quizzes, and video practice, user feedback highlights a critical need for greater personalization and real-time support.
By offering tailored learning paths, real-time feedback, and fun, interactive features, we want to help users feel more confident and motivated as they prepare for their interviews.
DISCOVER
User Research
To better understand the challenges job seekers face, we conducted in-depth customer development calls.
These conversations highlighted 3 primary needs:
A Learning Path That Feels Personal: Everyone’s journey is unique, requiring personalized learning to match their goals, strengths, and challenges.
Real-Time, Actionable Feedback: Job seekers need clear insights on their strengths and areas to improve, making a big difference in real-world preparation.
Engaging and Motivational Support: Interview prep can be overwhelming, so staying motivated is crucial.
Onboarding Survey
We segmented users based on their onboarding responses so far, considering their experience level, unique situations, and areas for improvement. This approach enabled us to create a more tailored experience by providing personalized recommendations, such as field-specific interview practice questions or focused feedback on their individual challenges.
IDEATE
User Scenarios
After conducting interviews, we identified multiple user scenarios and defined key insights, which were then translated into specific user needs.
We then brainstormed AI-powered features tailored to address the unique requirements of each user persona.
How The AI Features Work
The interview training tool leverages natural language processing (NLP) and machine learning (ML) technologies to create an interactive and personalized training experience for users.
Learning User Flow
Next, we designed a personalized learning journey that combines learning with hands-on practice and real-time feedback. This approach keeps users actively engaged by allowing them to apply what they've learned in practical scenarios. With interactive exercises and immediate feedback, users can refine their skills, track progress, and gain confidence as they prepare for their careers.
This dynamic, tailored process makes learning more engaging, relevant, and effective.
BJ Fogg’s Behavior Model
Using BJ Fogg’s Behavior Model as inspiration, we aimed to strike the perfect balance between motivation, ability, and prompts.
This means designing the app to provide the right level of encouragement, simplifying tasks to boost confidence, and offering timely guidance to keep users on track.
Personalized AI Learning Plan
Our next step was to create a personalized AI learning plan for each user, using insights from onboarding, app usage, and performance.
We added gamification strategies to enhance engagement:
Personalized Onboarding Challenges: Tailoring challenges right from the start to match individual user goals.
Continuous Motivation: Adding motivational messages, notifications, and easy access to help features to keep users on track.
Visual Progress Feedback: Displaying progress bars, scores, and levels to show learning achievements.
Instant Rewards: Providing AI feedback and personalized action plans as rewards after completing sections.
DESIGN
Wireframes
Next, we created wireframes to turn our app's features into an easy-to-use design. This process focused on mapping how users would interact with personalized learning modules, quizzes, and the AI-powered mock interview simulator.
The goal was to make sure every element—from accessing training content to receiving real-time feedback—is organized and simple to navigate. This early design phase helped us visualize the user journey, optimize the layout, and refine the app’s functionality for a smooth, engaging experience.
UI Design for Web and iOS Applications
Personalized Onboarding for Individual Growth
We designed a personalized onboarding experience to meet each user’s unique goals and challenges.
We aimed to create an engaging and supportive environment that motivates users and builds their confidence throughout their learning journey.
Gamified Dashboard for a Personalized Journey
The redesigned dashboard incorporates the gamification strategies mentioned earlier, offering a more personalized experience with progress tracking, recommendations based on user profile, ongoing motivation, and instant rewards.
Enhanced and Engaging Learning Experience
The updated learning experience combines learning, practice, and real-time feedback, making the process more engaging, relevant, and effective.
Users can continue their learning on mobile, with access to lessons, quizzes, and real-time feedback, anytime and anywhere.
AI-Powered Feedback and Coaching for Interview Success
The new AI features provide users with instant, detailed insights into their interview preparation progress.
The “AI Feedback Report” highlights specific strengths, showing areas where users excel, as well as identifying opportunities for improvement.
The “Action Plan” translates these insights into personalized, step-by-step coaching, offering clear guidance and practical tips to help users enhance their performance.
The "Analytics" screen monitors users' progress over time, highlighting how their skills have improved. It also provides personalized recommendations to guide further growth and development.
Track Progress with Tailored Insights
Design System
I created a design system using an atomic design approach, starting with core elements like colors and styles for consistency. I set up a clear typography hierarchy for readability and brand alignment, designed intuitive icons for easy communication, and developed reusable components like buttons and navigation.
This approach streamlined development and ensured a consistent user experience.
Impact
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20%
Engagement Rate
After implementing the updated features, engagement rates increased significantly, showing an estimated growth of around 20% over six months.
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12 +
Universities
Expanded the platform’s B2B partnerships, onboarding 12+ universities to assist career centers in helping students land internships and jobs.
Next Steps
Refinement and Iteration: Use feedback to improve features, interface, and user flow, including adjusting difficulty levels and enhancing feedback.
Content Expansion: Add more learning modules, quizzes, and practice scenarios for a wider range of industries and roles, making the app more versatile.
More Granular Personalization: Improve the AI’s ability to tailor learning experiences even further, incorporating factors like learning style, job role, and user behavior to create unique, adaptive learning paths.
Key Learnings
Key learnings from this project include the importance of personalizing the user experience to cater to different skill levels and industries.
We also found that providing immediate, actionable feedback through AI features significantly enhances user engagement and confidence.