Generative Issue Interface for Similar-Ticket Resolution Guidance
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Solution Overview
Problem
Existing issue tracking systems face challenges in efficiently accessing and compiling large volumes of dispersed technical problem information, making it difficult to manage and resolve issues effectively.
Innovation Solution
A generative interface system that utilizes a generative output engine to generate content for a recommendation panel, including link objects, subject matter expert references, and suggested action narratives, based on issue data and semantic analysis of similar issues, to assist in resolving and organizing issue tickets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional issue tracking interfaces are used to access and compile dispersed technical problem information, then the system can maintain simple architecture, but the efficiency of accessing and compiling large volumes of issue data deteriorates
Solution Approach 1:
The patent introduces a generative interface system as an intermediary layer between users and the issue tracking database. This system includes a generative output engine that processes natural language queries and generates relevant issue data, along with a recommendation panel system that curates and presents information. This intermediary architecture enables efficient access to dispersed issue data without requiring users to navigate complex database structures directly, thus improving productivity while managing system complexity through modular design.
2Loss of time
If manual compilation and access of issue data from disparate locations is performed, then the system maintains low resource consumption, but the time required to manage large quantity of issues increases
Solution Approach 1:
The patent implements preliminary action by pre-processing and organizing issue data into structured formats before user queries are submitted. The system maintains indexed repositories of issue data, categorizes problems by type and status, and pre-generates potential recommendations. This preliminary organization significantly reduces the time required to retrieve and compile issue information during actual problem-solving activities, while the computational overhead is distributed and managed efficiently through automated processes.
3Loss of information
If comprehensive issue data from multiple sources is integrated, then the information completeness improves, but the difficulty of accessing and organizing the data increases
Solution Approach 1:
The patent applies segmentation by dividing comprehensive issue data into distinct, manageable categories and components. The system segments information by issue type, status, priority, and source, organizing them into separate but interconnected data structures. The recommendation panel further segments information by relevance and utility, presenting curated subsets rather than overwhelming users with all available data. This segmented organization maintains information completeness while dramatically improving ease of access and operation.
Data Source
AI summary
Embodiments described herein relate to systems and methods for providing generative content for a graphical user interface of an issue tracking platform. The systems and methods can include generating a first prompt including a set of similar issues to a particular issue, and a request to extract actions performed for each issue of the set of similar issues. In response to providing the first prompt to a generative output engine, receiving a first generative response produced. In response to receiving the first generative response, a second prompt can be generated and include issue data extracted from the particular issue, the summary of actions received as part of the first generative response, and predetermined prompt language associated with a recommendation. A recommendation panel can be displayed and include content generated using the second generative response.