
Project Overview
Team
​Jingting Wang, Rebecca Mao, Yuri Chen, Ally Chang, & Xinwei Sage Pei
Role
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Product Manager
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UX Designer
Skills + Tools
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Figma
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Miro Board
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Google Suite
Deliverables
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Research and Discovery Report
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Style guide
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Figma prototype
Chinese is one of the hardest languages to learn due to the lack of an alphabet, different tonalities, and cultural nuances.
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Clavis Sinica is a Chinese reading comprehension solution created to aid intermediate-advanced students learning Chinese, with features like an in-text dictionary, additional reading materials, and practice tools; it was tested and used on campuses at UofM, Stanford, Yale, etc.
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However, due to the long beta process, the software's designs are now outdated and inaccessible.
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Our goals are to :
1. Revamp the mobile version of Clavis Sinica to provide tailored & intuitive learning experiences for students
2. Introduce new features to address common learning challenges
Design Process

Research & Findings
We conducted surveys and interviewed a combined 80+ professors and current students of Chinese.
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We organized these findings into affinity diagrams, tables & charts to help us better understand user needs and preferences.
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We discovered that students and professors want...
Modern and applicable learning materials
Interactive and challenging practices
Culturally integrated lessons
Comprehensive of language nuances
These insights helped us to better understand our target users, their motivations, and needs, leading to the creation of user personas and journey maps which helped us in determining UX requirements and brainstorming new features.



Highlighted Design Features




Ultimately, our team of 5 delivered 120+ Figma screens to create a mobile Chinese language learning ecosystem, addressing key learning challenges with integrated classrooms, customized learning plans, and an iterable design that allow for user contribution (i.e. word upload)
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Along with these designs, we also created a style guide and UX specifications to ensure a smooth handoff to the development team to create an MVP and test at UofM.