How Full‑Screen Immersive Lists Boosted Efficiency and Satisfaction on Baidu’s B‑End Platform

Introduction

The list component is a core module of Baidu’s commercial B‑end platform, accounting for about 40% of page views and 47% of interaction time. However, user satisfaction with the list was only 53.9%, lower than the platform average, mainly due to performance lag and low interaction efficiency.

Design Goal

From the customer perspective, the goal was to innovate the list experience, improve core scenario efficiency (browsing, searching, managing data), and raise satisfaction.

Browsing Data – More Comprehensive

Compared with competitors whose list pages occupy ~70% of the screen, Baidu’s list only covers ~40%, limiting the number of rows and columns displayed. By introducing a full‑screen immersive mode, the list area increased to 90% of the screen, allowing 19 rows to be shown on a 16‑inch display instead of 8.

Full‑Screen Interaction Framework

Users can enter an immersive full‑screen mode with a single click, using a compact UI that reduces row height and column width, thereby improving space utilization.

Multi‑Tab Task Interaction

To avoid leaving the immersive mode for drill‑down pages, a multi‑task tab system was added, enabling seamless switching between data views within the same full‑screen environment.

Finding Data – More Convenient

Previously, combined filtering required three separate single‑filter actions, totaling 12 steps. The new combined filter interaction reduces this to five steps, improving efficiency by 58%.

Intelligent Query

An intelligent query feature lets users express search intents in natural language; the system parses the semantics and filters data automatically, making the search process more user‑friendly.

Managing Data – More Efficient

New interactions such as cross‑row selection, right‑click contextual menus, and keyboard shortcuts reduce batch operation steps from three to two, cutting vertical scrolling distance by 90%.

Results

After a pilot launch, the immersive list increased visible information by 1.3× (8 → 19 rows) and reduced average vertical scroll distance from 550 px to 47 px, a ~90% efficiency gain. Post‑launch surveys showed satisfaction rising to 82.6%.

Conclusion

The project demonstrates that user‑centered design addressing concrete pain points can dramatically improve efficiency and satisfaction on a B‑end platform.