PREPAIRE

Inspiration

The inspiration for this project came from personal experiences as job seekers. We often feel unprepared and overwhelmed by the interview process, and after conducting user research, we knew that many others felt the same. Many shared that while they could rehearse answers to common questions, they struggled with improving their soft skills, like body language, tone, and communication style. Others practice mock interviews with friends and family, but lacked the element of conveince. We create PREPAIRE to combine these elements into one accessible tool, to help any job seeker ace their interviews. PREPAIRE simulates real-world interview scenarios, providing personalized, actionable feedback on both the content of answers and the delivery itself.

What We Learned

Throughout the project, we learned about the fundamental concepts that carry UI/UX in the industry. We learned about the power of AI in personalizing user experiences, and how AI changes the way users interact with platforms, and how designers must reflect these alterations to improve effectiveness and productivity. We also fine-tuned our Figma skills!!

How We Built the Project

Building this platform was primarily centered around Figma. The visual design was kept simple (minimalistic!) but professional, with easy-to-read feedback categories and motivational language to keep users engaged.

Challenges Faced

Time constraint prevented us from creating all the features we wanted to implement (such as motivational reminders). We also had so many ideas based on user research that could support the general job search (resume building, etc.), but we wanted to prioritize a clean, clear interface, that was accessible and easy for any user to understand. So, we selected the most common struggle (interview prep), and centered our platform around this concept.

Future Goals

Looking ahead, we hope to realize the platform from the prototype to a coded project. We hope to include more personalization in terms of selecting desired AI voices. Another feature that we would want to implement would be accessibility-inclusive video interview format (sign-language alternative, where ML can live-analyze sign language and provide feedback just the same).

Built With

• figma