Roles: Researcher / Prototype / Coding

This project is designed to significantly enhance the backend system, thereby elevating the intuitiveness and efficiency with which internal staff can manage and analyze data from NFT investors. These improvements not only enable the operations team to quickly analyze data and make informed decisions but also enhance the support provided by customer service teams to investors seeking advice. Moreover, by integrating the "Watch to Each" events, the system further supports staff in efficiently managing event data distribution, organizing, and voting processes, ultimately boosting overall work efficiency and service quality.

Problems

My supervisor and colleagues have expressed challenges with the backend system, though they couldn't pinpoint the exact reasons for their discomfort. The common issue they faced was the extended search for data.

Need Finding

While optimizing the backend system, I dedicated two days to understand its flow thoroughly, with a focus on ensuring comprehensive customer data retrieval. Subsequently, I conducted interviews with my supervisor and colleagues to identify their challenges. During the prototyping phase, I collaborated with backend engineers, using HTML, CSS, and JS to successfully complete the project.

• Streamlined Data Organization
  Reorganized scattered data, eliminating the need for users to switch between pages for comparisons.
• Reduced Repetitive and Unnecessary Information
• Enhanced Customer Information Retrieval
  Improved efficiency in locating customer information for our customer service team.
• Monthly Activity Management
  Simplified the management of monthly "watch to earn" activities by creating an intuitive platform for adding new activities and posts.
• Optimized Monthly Activity Voting System
  Enhanced the monthly activity voting system with a filtering function to quickly identify and prioritize valuable customer comments, reducing time spent on irrelevant ones.

Optimize

• Understeadable charts.
  Combining the primary data with the homepage was the main task for this project. So, I incorporated the preliminary data that my colleagues needed into several charts.
• Organize the information in the table.
  After the interview, I organized the primary data and deleted the repeated data. To ensure the users can easily find the data they need and compare the information.
• Simplify the filter systems.
  Simplify the unnecessary functions in the popout filter box into the three selection buttons. Also, I turned the hotchpotch data on the activity page into product, content, and actor categories.
• Automatic fill-information
  We have added the function of automatically filling in data, such as dates and some fixed data, to reduce manual errors and improve work efficiency.

Mockup