Interactive Capsule Visualization for Social Network Metrics
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Solution Overview
Problem
Conventional employee performance reports in talent management systems provide a static view of employee data, lacking depth and being cumbersome, especially on mobile devices, which hinders effective insight and productivity optimization.
Innovation Solution
A user interface method that employs interactive capsules and infographics to visualize and compare enterprise data, including talent scores, social network metrics, and performance ratings, allowing users to filter, drill down, and compare data across teams and departments, optimized for mobile use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional static performance reports are used to display employee data, then data completeness is maintained, but ease of operation deteriorates due to cumbersome scrolling and difficulty in finding particular data
Solution Approach 1:
The patent segments employee performance data into modular capsule visualizations that can be independently viewed and explored. Each capsule represents a specific data dimension (e.g., performance metrics, skills, projects) that can be selectively expanded or collapsed, allowing users to access comprehensive data without being overwhelmed by volumes of information in a single static report.
Solution Approach 2:
The patent transitions from two-dimensional static reports to multi-dimensional interactive visualizations. The capsule interface adds temporal and hierarchical dimensions, allowing users to navigate through time periods and data granularities dynamically. This dimensional expansion enables comprehensive data exploration in a compact, mobile-friendly format without requiring extensive scrolling.
2Measurement precision
If detailed enterprise data is displayed to provide in-depth insights, then measurement precision improves, but device complexity increases making it difficult to view on mobile devices
Solution Approach 1:
The patent implements dynamic capsule visualizations that adapt their level of detail based on user interaction. Capsules can be expanded to reveal granular metrics or collapsed to show summary views, allowing the interface complexity to dynamically adjust to user needs. This dynamic behavior enables mobile devices to display detailed enterprise data without presenting a static complex interface.
Solution Approach 2:
The patent employs a nested structure where capsule visualizations contain multiple levels of data hierarchy. Outer capsules represent aggregate metrics, while inner capsules reveal more detailed breakdowns. This nesting approach allows comprehensive data representation within compact visual containers that are suitable for mobile device screens, maintaining measurement precision without increasing apparent interface complexity.
3Productivity
If periodic performance reports are generated to track employee performance, then productivity monitoring is achieved, but loss of time increases due to manual report generation and review
Solution Approach 1:
The patent implements self-updating capsule visualizations that automatically refresh with new enterprise data from connected systems. The capsules pull data from multiple sources (performance management systems, project management tools, collaboration platforms) and update dynamically without requiring manual report generation. This self-service approach eliminates the time-consuming manual compilation and distribution of periodic performance reports while maintaining continuous productivity monitoring.
Solution Approach 2:
The patent transitions from periodic batch report generation to continuous real-time data visualization. The capsule interface continuously monitors and displays enterprise data streams, providing ongoing performance insights without the interruptions of periodic report cycles. This continuous action eliminates the time loss associated with generating, distributing, and reviewing periodic reports while maintaining constant productivity awareness.
Data Source
AI summary
Embodiments describe a system and method for presenting a data visualization using, at least in part, social network metrics. The social network metrics can include components such as a social connection score, a social content score and a social conversation score. Further details and values of the metrics can include a number of social network connections that an individual has in their social network, a number of content followers of the individual, a number of social network spaces to which the individual belongs, an indication of how a human resource interacts with others within a social network, a number of bookmarks shared, a number of tags added to particular areas of interest, a number of tags added to certain areas of expertise, and others.