In 2019, I redesigned and shippted the unfied checkout experiecne across 102 countries where Huawei was selling their digital products (Laptops, phones, and other accessories).
Result and Impact
100% of testing user felt the UI is intuitive.
100% of testing user felt easier to find the information that they were looking for.
88% - drop in support tickets during the first 3 months after Data Dictionary GA, for cases where users asked how to use or interpret specific data
Please reach out if you'd like to learn more
Please reach out for full case study
In 2019, I redesigned and shippted the unfied checkout experiecne across 102 countries where Huawei was selling their digital products (Laptops, phones, and other accessories).
Role
Lead designer
2 Months
UI/UX, UXR, Testing
1 Designer (me), 1 PM, 2 Engineers
Result and Impact
100% of testing user felt the UI is intuitive.
100% of testing user felt easier to find the information that they were looking for.
88% - drop in support tickets during the first 3 months after Data Dictionary GA, for cases where users asked how to use or interpret specific data
Please reach out if you'd like to learn more
In 2024, I redesigned and launched the Scintilla’s Data Dictionary, a centralized source of truth for data definitions across Walmart’s analytics platform.Previously, users had to maintain their own spreadsheets to track column names, aliases, and definitions. This created confusion, especially when teams worked with both Walmart-provided data and their own custom datasets.
The Data Dictionary gives users a flexible way to browse, learn, and manage data descriptions, whether the data is Walmart-provided or user added. It helps Walmart suppliers and merchants stay aligned on what each data point means, ensuring consistent interpretation and reducing friction in analytics workflows.
Role
Lead designer
2 Months
UI/UX, UXR, Testing
1 Designer (me), 1 PM, 2 Engineers
Result and Impact
100% of testing user felt the UI is intuitive.
100% of testing user felt easier to find the information that they were looking for.
88% - drop in support tickets during the first 3 months after Data Dictionary GA, for cases where users asked how to use or interpret specific data
Please reach out for full case study