Dynamic Graphical Interfaces for Issue Queue Intake Management
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Solution Overview
Problem
Existing issue tracking systems are inefficient and resource-intensive due to the need for tedious customization and adaptation of processes and interfaces for various user problems, leading to underutilization and reduced efficiency.
Innovation Solution
A system and interface that allow users to generate custom portal intake flows and project management interfaces dynamically, using generative output models to configure intake request types, workflows, and project features, enabling flexible and efficient issue tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a common interface is used for a wide variety of use cases, then device complexity is reduced, but productivity decreases due to inefficiency and wasted computing resources
Solution Approach 1:
The system dynamically generates interface components and workflows based on the specific issue type and user requirements. The interface adapts its structure, fields, and workflows in real-time rather than using a static common interface, resolving the contradiction between simplicity and efficiency.
Solution Approach 2:
The system changes interface parameters such as field names, required fields, workflow steps, and validation rules based on the issue type. This allows a single platform to efficiently handle diverse issue tracking needs by adjusting parameters rather than maintaining separate interfaces.
2Productivity
If existing software is tailored for a specific type of technical issue, then productivity is improved for that issue type, but adaptability decreases when handling new issue types
Solution Approach 1:
The system segments the issue tracking functionality into modular components such as reusable field templates, workflow patterns, and interface components. This allows efficient handling of specific issue types through composition of modules while maintaining adaptability to new issue types.
Solution Approach 2:
The system creates a universal platform where a single interface generator can handle multiple issue types by dynamically configuring fields, workflows, and validation rules. This multi-functional capability eliminates the need for separate tailored software for each issue type while maintaining high efficiency.
3Adaptability or versatility
If custom processes and interfaces are created for each issue type, then adaptability is improved, but device complexity and time consumption increase
Solution Approach 1:
The system pre-defines a library of reusable field templates, workflow patterns, and interface components that can be combined to create custom processes. This preliminary preparation allows rapid customization without complex configuration, as users assemble from pre-built blocks rather than configuring from scratch.
Solution Approach 2:
The system uses templates and copies of proven field sets and workflows that can be rapidly replicated for new issue types. Instead of creating custom processes from scratch, the system copies and adapts existing validated patterns, reducing complexity while maintaining adaptability.
4Adaptability or versatility
If manual customization is performed for each issue type, then adaptability is improved, but loss of time increases due to tedious customization processes
Solution Approach 1:
The interface generator automatically creates customized interfaces, fields, and workflows based on issue type parameters without requiring manual configuration. The system self-configures by selecting and assembling appropriate components from templates, eliminating time-consuming manual customization while maintaining full adaptability.
Solution Approach 2:
By pre-preparing templates and components, the system enables rapid customization through automatic assembly rather than manual configuration. This preliminary action reduces the time required for each customization task while maintaining the ability to handle diverse issue types.
Data Source
AI summary
A computer-implemented method for defining and creating a request intake flow for an issue tracking system is described. Embodiments described herein include systems and techniques for creating custom portal intake flows for an issue tracking system. The systems may include a user interface that allows portal intake flows to be generated and the user to select the information and workflow for an intake flow during the generation process. Embodiments are also directed to system and methods for creating dynamic summaries for issues managed by an issue tracking system. The dynamic summaries may be generated using a generative output model, as described herein, and provide information to a user about a current status, history or other events associated with an issue. Embodiments are directed to systems and methods for using a generative output engine to provide suggestions for creating a project management interface for an issue tracking system.