Dashboard Editor Zone-Based Drag-and-Drop Interface
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Solution Overview
Problem
Existing digital dashboard systems lack intuitive and efficient methods for creating and customizing dashboards, particularly in organizing Key Performance Indicators (KPIs) and filters, which hinders effective business metric analysis and visualization.
Innovation Solution
A user interface and method for creating digital dashboards that allows for the creation of zones, dragging and dropping of scorecards and filters, and linking filters to scorecards, with options for selecting filter templates, data sources, parameters, and display methods, enabling customizable dashboard creation and editing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional digital dashboard systems are used, then dashboards can display KPIs and metrics, but the creation and customization process is non-intuitive and inefficient
Solution Approach 1:
The dashboard creation process is segmented into distinct zones (e.g., KPI zone, filter zone, metric zone) that can be independently configured. Users can drag and drop elements into specific zones without needing to understand the entire dashboard structure, reducing the perceived complexity while maintaining customization capability.
Solution Approach 2:
Pre-defined templates and zone configurations are provided as starting points. Users can select from pre-organized dashboard structures and then customize by adding or removing elements, rather than building from scratch. This preliminary structuring makes the creation process more intuitive and less complex.
2Adaptability or versatility
If filters are added to dashboards, then data can be filtered and organized, but the system complexity increases
Solution Approach 1:
Multiple filtering capabilities are merged into a single filter element that can be applied to multiple KPIs or metrics simultaneously. This allows complex data organization without requiring separate filter mechanisms for each element, thereby reducing overall system complexity while maintaining versatility.
Solution Approach 2:
The filter element is designed with multi-functionality, allowing it to be applied to different types of data (KPIs, metrics, aggregates) and to filter by various parameters (time, category, value thresholds). This universal filter design increases adaptability without proportionally increasing complexity.
3Productivity
If multiple dashboard elements are added, then analysis capability improves, but the interface becomes more complex
Solution Approach 1:
The dashboard interface is organized in multiple dimensions (rows, columns, zones) that allow users to add elements systematically without creating visual clutter. Elements are added in an organized manner that maintains interface clarity, enabling improved analysis capability while preserving ease of operation through structured layout.
Data Source
AI summary
A user interface programmed to create a digital dashboard includes a dashboard workspace including one or more zones, and a dashboard elements area including a plurality of dashboard elements. A dashboard element of the dashboard elements is dragged and dropped onto one of the zones to add the dashboard element to the digital dashboard.