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Currently, the users table in our application uses pagination to load and display user data. While this approach works, it requires additional user interaction to navigate between pages, making it less seamless for large datasets. Implementing infinite scrolling would enhance the user experience by dynamically loading more users as the user scrolls down.
Proposed Solution
Implement infinite scrolling using an intersection observer or event-based scroll detection.
Fetch and append the next set of users when the user reaches the bottom of the list.
Optimize API requests to ensure efficient data fetching without overloading the backend.
Ensure smooth UI/UX by adding loading indicators for newly fetched users.
Technical Considerations
Frontend: Implement lazy loading using Intersection Observer or an equivalent method.
Backend: API should support cursor-based or offset-based pagination to efficiently retrieve more users.
Performance: Avoid excessive re-renders and unnecessary API calls to maintain a smooth scrolling experience.
Acceptance Criteria
Users are loaded dynamically as the user scrolls down.
No noticeable lag or delay in loading new users.
API calls are optimized and do not cause excessive load on the server.
Works consistently across different screen sizes and devices.
Additional Context
If the users table supports sorting or filtering, ensure that infinite scroll works correctly with these features.
The text was updated successfully, but these errors were encountered:
Description
Currently, the users table in our application uses pagination to load and display user data. While this approach works, it requires additional user interaction to navigate between pages, making it less seamless for large datasets. Implementing infinite scrolling would enhance the user experience by dynamically loading more users as the user scrolls down.
Proposed Solution
Technical Considerations
Acceptance Criteria
Additional Context
The text was updated successfully, but these errors were encountered: