Dashboard Editing Tool Automated Evaluation
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Solution Overview
Problem
Existing dashboard systems often confuse users with poorly designed visualizations, leading to obfuscation of underlying data, as they lack effective evaluation and recommendation tools for improving dashboard layouts and visualizations.
Innovation Solution
A user interface system that includes a dashboard editing tool with a visualization editor, layout editor, and evaluation tool, which allows users to drag and drop visualizations, automatically evaluates dashboards based on evaluation categories, and provides recommendations for improvement through scoring rules and suggestions for modifying the dashboard.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If dashboard visualizations are created without automated evaluation, then dashboard creation is simple and quick, but the clarity and usability of the dashboard deteriorates due to poor design and obfuscated data
Solution Approach 1:
The system implements automated evaluation of dashboard visualizations using scoring rules that assess clarity, usability, and data presentation. The evaluation tool provides feedback by generating recommendations for improvement, allowing users to see the impact of their design choices and iteratively improve dashboard quality without complicating the creation process.
Solution Approach 2:
The dashboard system performs self-evaluation through automated scoring rules that objectively assess visualization quality. The system evaluates its own output and generates recommendations, eliminating the need for external review while maintaining high standards of data clarity and usability.
2Loss of information
If automated evaluation and recommendation tools are added to improve dashboard quality, then data clarity and usability improve, but device complexity increases
Solution Approach 1:
The evaluation system is segmented into distinct scoring rules, each evaluating specific aspects of dashboard quality (clarity, usability, data presentation). This modular approach allows complex evaluation to be broken down into manageable components that can be independently developed and applied without overwhelming system complexity.
Solution Approach 2:
The evaluation tool acts as an intermediary between dashboard creators and the final visualization output. It provides automated assessment and recommendations as a mediating layer, improving quality without requiring direct complex interactions between all system components.
3Adaptability or versatility
If manual evaluation of dashboard visualizations is performed, then customization and user judgment are maintained, but time consumption increases and scalability is limited
Solution Approach 1:
The system transforms subjective evaluation criteria into objective parameters through scoring rules. Each criterion (clarity, usability, data presentation) is defined with specific measurable parameters, enabling automated evaluation that maintains customization capability while dramatically reducing time consumption compared to manual review.
Data Source
AI summary
Dashboard evaluation includes receiving a dashboard code defining a dashboard that includes visualizations in a layout, rendering, in a graphical user interface (GUI) of a dashboard editing tool, the dashboard based on the dashboard code, and extracting, using the dashboard code, a data attribute of a data object represented by a visualization of the multiple visualizations. Dashboard evaluation further includes evaluating, by the dashboard editing tool, the visualization based on the data attribute to obtain a score, presenting, in the GUI of the dashboard editing tool, a recommendation based on the score failing to satisfy a first threshold, receiving, through the GUI of the dashboard editing tool and after presenting the recommendation, an edit to the dashboard code that adjusts the visualization, and storing, by the dashboard editing tool, the edit to the dashboard code.