Use two cases to help you learn how to improve the density of key information on the B side

In decision-making products, the user's behavior path generally goes from information analysis scenarios to information decision scenarios. The density of key information in the system is an important factor affecting the user's decision-making rate. Therefore, we recommend starting from the two levels of "information splitting and reorganization" and "efficient function aggregation" to increase the density of key information in the page module.

The granularity of the design framework for improving the effective information density of the B-side can be summarized into three levels from coarse to fine, namely the basic layer, the functional layer and the information layer. First, the basic layer. The key differences of the B-side products in multiple business scenarios, multiple user roles, and multiple task processes determine that business-side information is the starting point of all designs; secondly, it is necessary to link and aggregate product functions based on the relevant content of business scenario definition, role definition, and task flow arrangement; finally, based on the above information, use a design method that combines interaction and vision to reduce the interaction cost between users and the system, guide users to focus on the core capabilities of the product, and improve the density and reach efficiency of key information on the page.

"Information splitting and reorganization": In the B-side system, information splitting and reorganization is to recombine information based on business and product content in order to achieve the design goals of low jump, high density and effective reach.

"Efficient functional aggregation": In the B-side system, efficient functional aggregation is the reintegration of product functions based on business scenarios and business logic, aiming to bring more commercial benefits/efficiency improvements per unit time and per unit area.

Case 1: Warehousing plan-sales plan confirmation product

Design method: information layer splitting and reorganization.

Project background: Based on the research and collation of planning methods, combined with the problems of too little reference information and poor browsing experience provided by the business side for the sales plan confirmation module, the overall experience of the detailed table and other parts was upgraded.

User pain point: The browsing and analysis efficiency of the sales plan confirmation detail table is low, which makes it difficult to confirm the plan online.

Design goal: Split and reorganize table information according to business logic, reduce and optimize user eye movement trajectories, and increase information display density.

Case 2: Full-process data overview product

Design method: efficient aggregation of functions

Project background: Data visualization of the entire process, data monitoring by stage, and display of more dimensional data such as timeliness, so that the business can quickly locate anomalies and follow up on them.

User pain points: Users cannot quickly obtain data related to fulfillment rates in product solutions, which to some extent affects the efficiency of data analysis and decision-making.

Design goal: Arrange the starting point, process, and end point of the whole process of browsing and analyzing data according to business logic, shorten and optimize the user's eye movement trajectory, and improve the timeliness of information access.

The above is all about "Design for Improving Key Information Density".