Plain-Text Question Routing for Self-Help Code Generation
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Solution Overview
Problem
Existing informative documents, such as help files and chatbots, often provide information in a suboptimal format, leading to inefficiencies in user problem resolution and increased costs due to the need for human intervention.
Innovation Solution
A system and method for automatically generating software code from a file containing plain text questions, suggested answers, and routing information, which allows for the creation of software modules that guide users through a non-sequential path to resolve issues efficiently without human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If informative documents are provided in a traditional question/answer format, then users can receive help information, but the format is suboptimal for efficient problem resolution and may require human intervention
Solution Approach 1:
The system enables self-service by automatically generating software code from plain text files containing questions and answers. The generated software modules can independently process user queries and provide resolutions without requiring human operator intervention, thus improving productivity while maintaining ease of operation through automated self-help mechanisms
Solution Approach 2:
The patent replaces the mechanical system of human operators manually reviewing and responding to user questions with an automated software-based system. The file parsing engine and software generation module automatically convert plain text help files into executable software code, substituting human mechanical processes with automated computational processes to improve efficiency
2Ease of operation
If an intermediary person is used to guide users through informative documents, then users can receive personalized assistance, but cost is added to the process
Solution Approach 1:
The generated software modules provide self-service capabilities that deliver personalized assistance automatically. The system parses user input, matches it against the knowledge base in the plain text file, and provides tailored responses without human intervention, maintaining personalized assistance quality while eliminating the cost associated with human intermediaries
Solution Approach 2:
The system creates software copies of the knowledge base contained in the plain text file. These software modules replicate the expertise and guidance previously provided by human intermediaries, allowing the system to deliver personalized assistance at scale without incurring additional operational costs for each interaction
3Productivity
If software programs are used to provide informative documents efficiently, then delivery speed improves, but the writers of informative documents are often not skilled at writing software programs
Solution Approach 1:
The patent replaces the difficult mechanical process of manually writing software programs with an automated system that generates software code from plain text files. The file parsing engine and software generation module handle the complex software development tasks automatically, allowing knowledge base writers to focus on creating content rather than learning programming, thus maintaining high information delivery efficiency while greatly easing the manufacturing process
Solution Approach 2:
The system introduces an intermediary layer between the plain text knowledge base and the software execution environment. The file parsing engine and software generation module act as mediators that automatically translate plain text content into executable software code, eliminating the need for writers to directly engage in complex software development while still achieving efficient information delivery
Data Source
AI summary
Systems and methods are provided for automatically generating software code from a file that comprises a plurality of questions in plain text form. A first plain text question is accessed from the file. A first set of suggested answers is accessed from the file comprising a first suggested answer and a second suggested answer. A first set of routing information is accessed from the file, where the routing information includes a first subrouting associated with the first suggested answer and a second subrouting associated with the second suggested answer. A first software module is generated based on the first plain text question, the first suggested answer, the second suggested answer, and the routing information. A second plain text question, a second set of suggested answers, and a second set of routing information are accessed from the file. A second software module is generated based on the second plain text question, the second set of suggested answers, and the second set of routing information. A pointer from the first software module to the second software module is configured based on the first subrouting associated with the first suggested answer, and a first software package is outputted based on the first software module, the second software module and the pointer from the first software module to the second software module.