Pre-populating Ticket Forms via Automatic Diagnostic Data Collection
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Solution Overview
Problem
Current ticketing systems often require users to answer numerous detailed questions, leading to frustration and increased costs and time for problem resolution, as providers need to contact users for additional information.
Innovation Solution
A system that pre-populates ticket forms by correlating user inputs with resolved problem descriptions, allowing for efficient assignment of representatives based on confirmed resolved issues, reducing interactions and costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If ticketing systems require users to answer numerous detailed questions, then problem resolution accuracy is improved, but user frustration and time cost increase
Solution Approach 1:
The system performs preliminary actions by automatically gathering device information, error logs, and system statistics before the user submits the ticket. This pre-collection of diagnostic data eliminates the need for users to manually answer numerous detailed questions, while still ensuring comprehensive problem analysis through pre-fetched technical information.
Solution Approach 2:
The ticketing system enables self-service by automatically populating form fields with device metadata, error messages, and diagnostic information. The system serves itself by gathering necessary troubleshooting data without requiring extensive user input, thereby reducing user time cost while maintaining problem resolution accuracy.
2Loss of information
If ticketing systems require numerous detailed questions, then problem diagnosis completeness is improved, but interaction cost and resolution time increase
Solution Approach 1:
The system performs preliminary diagnostic actions by automatically collecting device information, error logs, and system statistics before ticket submission. This pre-gathering of diagnostic information ensures complete problem diagnosis without requiring users to answer numerous detailed questions, thereby maintaining information completeness while improving resolution efficiency.
Solution Approach 2:
The system replaces the mechanical interaction of user-question answering with automated information gathering through device interfaces and log analysis. This substitution of manual information collection with automated technical data extraction ensures complete diagnostic information is obtained without the inefficiency of extensive user interactions.
3Reliability
If providers contact users for additional information, then ticket accuracy is improved, but cost and time for resolution increase
Solution Approach 1:
The system performs preliminary information gathering by automatically collecting device metadata, error logs, and diagnostic data before the user submits the ticket. This pre-collection of accurate technical information ensures high ticket accuracy without requiring subsequent provider-user interactions, thereby maintaining reliability while improving resolution efficiency.
Solution Approach 2:
The system enables self-service ticket creation by automatically populating form fields with accurate device information and diagnostic data. This self-population mechanism ensures high ticket accuracy without requiring provider contact for additional information, thereby maintaining reliability while eliminating the time and cost overhead of follow-up interactions.
Data Source
AI summary
Pre-populating a form can include receiving a first input that describes a problem from a first user. Pre-populating a form can include associating a category with the first input. Pre-populating a form can include selecting a first form based on the category. Pre-populating a form can include pre-populate the first form based on a second input provided by a second user to a second form belonging to the category.