Knowledgebase Article Authoring System for Case Note Extraction
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Solution Overview
Problem
Existing client support systems fail to efficiently capture and make accessible the knowledge of experienced support staff, as CRM software lacks the ability to summarize key information from case notes, leading to manual effort-intensive creation of knowledgebase articles, which are often not prioritized due to time constraints and lack of incentive.
Innovation Solution
A method and apparatus for authoring knowledgebase articles by highlighting and extracting text snippets from electronic documents using a user-operable selection device, with an applet comprising multiple panes for data fields, allowing easy storage and searching within a knowledgebase.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If manual summarization and article writing is performed, then knowledgebase articles can be created, but time consumption and manual effort increase significantly
Solution Approach 1:
The system automatically copies relevant information from case notes to knowledgebase articles through template-based extraction. The applet captures case note content and populates article fields automatically, eliminating manual copying and summarization while preserving the essential knowledge information.
Solution Approach 2:
The system enables self-service knowledgebase article creation by automatically processing case notes into structured articles. The automated extraction and population processes allow the system to serve itself in creating knowledgebase content without requiring manual intervention from support staff.
2Productivity
If support staff focus on customer service, then customer satisfaction improves, but knowledgebase article creation is deprioritized
Solution Approach 1:
The system performs self-service by automatically converting case notes into knowledgebase articles without requiring support staff intervention. This allows support staff to focus entirely on customer service while the system independently captures and structures knowledge from their interactions.
Solution Approach 2:
The applet acts as an intermediary between case notes and knowledgebase articles, automatically extracting and transferring knowledge information. This mediator function ensures knowledge capture occurs seamlessly in the background without diverting support staff attention from customer service tasks.
3Loss of information
If case notes are stored in knowledgebase, then knowledge is preserved, but searchability and usability decrease due to cryptic format
Solution Approach 1:
The system segments case notes into structured fields within knowledgebase articles using templates. By dividing the cryptic case note content into organized sections with clear labels and formats, the knowledge becomes both preserved and easily searchable, transforming unstructured text into accessible information.
Solution Approach 2:
The system changes the parameters of knowledge storage by transforming cryptic case note text into structured, formatted article content with defined fields and templates. This parameter transformation maintains the original knowledge information while dramatically improving searchability and usability through standardized formatting.
Data Source
AI summary
A method and apparatus for authoring an article entry comprising a plurality of data fields from at least one electronic document and storing the article in a knowledgebase. The apparatus comprises an authoring applet displayed on an electronic display, the applet comprising a plurality of panes, one of each of the panes associated with a respective one of the plurality of article data fields, wherein the selection device is used to highlight a text snippet from the at least one electronic document by moving a cursor to a start of the text snippet, depressing and holding a user operable selection device button while moving the cursor to an end of the text snippet wherein on release of the button the highlighted text snippet is copied to an active pane as a pane content and for subsequent editing and publishing to the knowledgebase.