Radial Data Splitting Interface for Shared Plans
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Solution Overview
Problem
Existing data management systems for shared data plans lack an intuitive and interactive interface for users to efficiently allocate and adjust data usage limits across multiple members within a group, leading to difficulties in monitoring and managing data consumption.
Innovation Solution
A shared data splitting interface with a radial distribution component, featuring color-coded segments and drag handles, allows users to visually allocate and adjust data limits across members, maintaining the total data allocation while modifying individual limits based on usage patterns and ratios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a traditional data management interface is used for shared data plans, then the system structure remains simple, but the ease of operation deteriorates due to lack of intuitive allocation and adjustment capabilities
Solution Approach 1:
The interface segments the shared data plan into individual member allocations, allowing users to divide and manage data limits for each member separately. The radial distribution component visually segments the total data allocation into controllable portions for different users, making complex multi-user management intuitive and accessible.
Solution Approach 2:
The patent introduces a radial distribution component that adds a visual dimensional representation of data allocation. Instead of traditional linear or tabular interfaces, the system uses radial segments to represent different members' data portions, creating a new visual dimension that makes allocation relationships immediately comprehensible and easier to manipulate.
2Productivity
If manual data allocation methods are used, then the device complexity remains low, but the productivity deteriorates due to time-consuming data management and monitoring
Solution Approach 1:
The interface provides real-time feedback on data consumption for each member through the radial distribution component. As users allocate and adjust data limits, the system immediately updates the visual representation and notifies relevant parties, enabling rapid decision-making and eliminating the need for manual monitoring and calculation, thus significantly improving productivity.
Solution Approach 2:
The system allows users to pre-allocate data limits to members before consumption occurs. By establishing allocation rules and limits in advance through the intuitive radial interface, the system automatically manages data distribution throughout the billing cycle, eliminating the need for ongoing manual intervention and大幅提升ting management efficiency.
3Measurement precision
If detailed data usage tracking is implemented, then the measurement precision improves, but the loss of information increases due to complexity in managing multiple members' data
Solution Approach 1:
The radial distribution component merges multiple members' data allocation information into a single unified visual interface. Each radial segment represents a member's allocation, and the complete circle represents the total shared data plan. This merging approach maintains precise tracking of individual consumptions while presenting consolidated, easy-to-understand information that prevents cognitive overload and information loss.
Data Source
AI summary
A method includes accessing a total data allocation and data allocation information associated with each of a plurality of members of a shared data plan and rendering a shared data splitting interface. The shared data splitting interface includes a radial distribution component and differentiated visual segments of the radial distribution component. The method includes receiving a change in the data allocation information for a particular one of the plurality of members of the shared data plan, and adjusting a size of a particular differentiated visual segment for the particular one of the plurality of members of the shared data plan based on the change. The method also includes adjusting the relative sizes of others of differentiated visual segments based on the change in the data allocation information for the particular one of the plurality of members of the shared data plan.