Embolden Job Seekers: Crafting an AI-Powered Interview Training Platform

As the sole product designer, I tackled the critical usability issues, and established a metrics framework, enhancing overall user engagement by 29.8%, reducing bounce rate by 10.5%, and growing user base by 87.8%.

Background

nSpire AI utilizes advanced AI technology to help college students to improve their interviews skills to boost their success in securing dream jobs.

Upon joining the project to enhance the platform, I encountered a pressing issue: a mere 22% task success rate in our interview practice. I leveraged limited quantitative data, conducted qualitative research, defined success metrics, and created designs aimed at improving simplicity and boosting engagement. Increased user engagement by 29.8%, reducing bounce rate by 10.5%, and growing user base by 87.8%.

My Role

Product design, User interview, Analysis, Usability testing

Team

1 designer, 5 engineers, 1 product manager

Timeline

Nov 2023 - Jan 2024

Solution

No more anxiety while waiting

While waiting, users gain insights into what our AI coach Theo is preparing for them. For those with busy schedules, we provide the flexibility to receive notifications later if they prefer not to wait.

Focused interaction for tailored storytelling

AI coach Theo provides insights on the top job requirements and personalized prompts for users to explore their experiences. This fosters a continuous, focused session where users can refine their storytelling, aligning closely with the job's needs.

Action-oriented Homepage

Key activities are right there in an organized setup. Users can kickstart their job hunting preparation right away.

Streamline editing experience with dual-panel view

Users can easily reference the AI-enhanced interview response while editing their own using a dual-panel layout.

Impact 🎉

Take a deep dive into the design process

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