MetricsVis: A Visual Analytics System for Evaluating Employee Performance in Public Safety Agencies

Area of Science:

• Human-Computer Interaction
• Organizational Psychology
• Data Visualization

Background:

• Evaluating employee performance is complex due to varying workloads and tasks.
• Understanding performance drivers and supervisor expectations is crucial for productivity.
• Integrating diverse performance metrics into an accurate organizational portrayal is challenging.

Purpose of the Study:

• To develop a visual analytics system for dynamic employee performance evaluation.
• To support the comparison of individual, team, and organizational performance.
• To identify shortcomings and enhance overall productivity in public safety organizations.

Main Methods:

• Summarized common organizational performance analyses into four visual exploration task categories.
• Developed MetricsVis, a visual analytics system with multiple coordinated views.
• Implemented four primary visual components: priority adjustment, reorderable performance matrix, group performance view, and projection view.

Main Results:

• MetricsVis facilitates dynamic evaluation and comparison of performance at multiple levels.
• The system aids in understanding individual achievements, team contributions, and aggregate performance.
• Case studies in law enforcement agencies demonstrated the framework's usability and applicability.

Conclusions:

• MetricsVis offers a novel approach to performance evaluation in public safety.
• The system enhances the ability to identify performance gaps and improve productivity.
• The framework's design supports flexible analysis and informed decision-making for organizational improvement.