ZHU XIANGGUI

HOME

RESEARCH

PROJECT

GALLERY

OTHERS



CV
Email
Instagram
Linked in

Optimization of Tsinghua University Information System Workbench

Led a comprehensive optimization of the Patent Approval Workspace within Tsinghua University’s Research Information System, utilizing ethnographic study and contextual inquiry to identify and address core user pain points.  Collected and analyzed insights from over 60 user interviews, directly informing the redesign process that improved system efficiency and accuracy.
Spearheaded a product upgrade that improved operational efficiency by 50%, enhanced user accuracy by 30%, and optimized overall user experience, resulting in the development of 27 key pages for mobile and web platforms.
The project’s success provided a framework for future enhancements within the Research Information System, contributing to the overall productivity of the institution. According to the data, efficiency has been doubled

Tsinghua University Patent Approval Workbench is a service platform under Tsinghua University's Research Information System, responsible for supporting and providing effective service for the university's research activities, intellectual property, and academic reputation.

Background for Revision:The information on application forms for decision-makers is not prominently highlighted, and there is inconsistency in functionality across different platforms.

Product Requirements:Standardize versions, improve page scalability, and optimize the product experience.


Preliminary research on the product identified core pain points: Approval efficiency is low, user trial-and-error costs are high, and the platform experience is suboptimal.













Design Goals:
- Enhance core users' document approval efficiency while retaining their usage habits.
- Ensure the accuracy of approvals by core users.
- Maintain a consistent user experience and improve page scalability.









Navigation Layer Design:

Problem:
- Navigation is unclear, page layout is unreasonable, document statuses are confusing, and distinguishing the content to be reviewed is difficult.

Cause:
- The current navigation layer is unreasonable, and the page layout is ambiguous.

Document Information Card Design:

Problem:
- The primary and secondary information on the document card is incorrectly arranged, causing time-consuming content perception and affecting approval decisions.

Cause:
- The design does not consider user needs in different scenarios, resulting in unnecessary information occupying browsing time.


























Information Guidance Optimization:
Problem:
- The display of approval channels and methods is unclear, making it difficult to ensure the accuracy of approvals.

Cause:
- Difficult-to-understand labels, unclear information guidance, redundant decision-making, and cumbersome batch operations.



























Aggregated Information Design:

Problem:
- Core users face a large number of pending tasks with complex information, increasing the likelihood of errors in judgment.

Cause:
- Associated information is fragmented, leading to potential missed items.









Experience Optimization:

Problem:
- General component capabilities and page scalability are low.

Cause:
- Numerous version styles leading to inconsistent information experience.





 ©Back to Top