MokaHR - JDs and Personas
In February, I joined MokaHR as a contract designer to explore how AI can enhance job description workflows and support HR teams in refining candidate personas. I led the end-to-end design process, from early explorations and usability testing to high-fidelity mock-ups and stakeholder presentations.
Unfortunately, I can’t share this work publicly. However, feel free to reach out if you’d like to learn more! For now, here’s what my mentor had to say about my contributions.
Bing Liu
Senior UX Designer at Telenav
I've had the pleasure of working with Yuxin on our AI project, Moka. She's extremely patient and detail-oriented, always taking the time to truly listen to users and understand their needs. Yuxin is open to feedback, receptive to collaboration, and never hesitates to explore different approaches. Her thoughtful design work has made a big impact, and she’s been an invaluable part of the team.
REFLECTIONS AND TAKEAWAYS
Learning - From Others
Working with different designers has taught me a lot—everyone brings a unique problem-solving approach, which constantly challenges me to be more creative and add meaningful value. I’ve learned that just because something exists in the market or product doesn’t mean it’s the right solution. In AI, users may be largely familiar with typical LLMs like ChatGPT or DeepSeek, they also have a level of familiarity with the platform we’re designing. When these two models clash, it’s important to find balance between innovation and familiarity.
Decision Making
Working with different designers has taught me a lot—everyone brings a unique problem-solving approach, which constantly challenges me to be more creative and add meaningful value. I’ve learned that just because something exists in the market or product doesn’t mean it’s the right solution. In AI, users may be largely familiar with typical LLMs like ChatGPT or DeepSeek, they also have a level of familiarity with the platform we’re designing. When these two models clash, it’s important to find balance between innovation and familiarity.
REACH OUT
2025 Yuxin Ren