Collaborative User Support Portal for Session Data Management
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Solution Overview
Problem
Traditional technical support systems for home entertainment systems are inefficient, requiring customers to repeat troubleshooting steps and information across sessions, and automated technologies struggle with complex problem-solving, leading to frustration and loss of diagnostic data.
Innovation Solution
A collaborative user support system with a user portal and domain models that uses natural language understanding, machine learning, and graphical user interfaces to diagnose issues, store session data, and provide personalized support, allowing users to manage their configurations and history for future reference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional technical support systems are used, then customers can receive human assistance, but customers must repeat troubleshooting steps and background information across sessions
Solution Approach 1:
The system performs preliminary action by automatically capturing and storing all troubleshooting steps, diagnostic information, and background information during the support session. This stored information is then automatically retrieved and presented to both the customer and support agent in subsequent sessions, eliminating the need to repeat previously discussed topics and steps.
2Productivity
If automated technologies like chatbots are deployed, then customers can self-serve simple tasks, but automated systems fail to handle complex problem-solving
Solution Approach 1:
The system uses an intermediary approach by implementing a sophisticated knowledge base and diagnostic engine that bridges automated self-service and human expert support. The system can autonomously handle complex troubleshooting by retrieving relevant information from stored diagnostic data and presenting it to customers, while seamlessly transitioning to human agents when needed for specialized assistance.
3Loss of information
If service tickets are used to track issues, then diagnostic steps can be recorded, but diagnostic information and notes are lost when sessions end
Solution Approach 1:
The system applies universality by creating a multi-functional support platform that integrates multiple functions into a single system: capturing customer background information, conducting troubleshooting, storing diagnostic data, maintaining session history, and providing intelligent routing to appropriate support resources. This unified approach ensures comprehensive information retention without requiring multiple separate systems.
4Ease of operation
If system configuration information is not saved across sessions, then the system remains simple, but customers must re-specify configuration details for each support interaction
Solution Approach 1:
The system performs preliminary action by automatically capturing and storing system configuration information during the initial support session. This stored configuration data is then automatically retrieved and presented to customers in subsequent sessions, allowing them to continue discussions without re-specifying configuration details such as device models, connection types, and system settings.
Data Source
AI summary
A collaborative user support system may include support components and a user portal to interact with a user and generate solutions to user problems. The support components may include a natural language understanding (NLU) engine, a reasoning engine, a semantic search engine, a multimodal dialog engine, and an active learning engine. The user portal may receive input dialog and the NLU engine may translate the dialog into machine language. The reasoning engine may determine whether the dialog includes a problem and call the semantic search engine to identify a potential solution. The multimodal dialog engine may determine a visual representation of a problem and/or solution. The active learning engine may receive user feedback on generated solutions for continuous improvements to the system.