Real-Time Experience Analysis System for User Feedback
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Solution Overview
Problem
Conventional user experience analysis methods lack reliability and real-time capabilities, failing to systematically process context-based information and providing limited data collection during actual user experiences, with restrictions on time and space, and focusing primarily on retrospective evaluations.
Innovation Solution
A real-time experience analyzing system and method that generates evaluation result data by transmitting query data with detailed experience evaluation indicators to user terminal devices, receiving and processing user responses, and outputting results based on detailed behaviors or features of services or products, enabling immediate and multifaceted analysis from both customer and provider perspectives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional information processing procedures are used to obtain user experience information, then the system is simple and easy to implement, but the reliability of experience sampling data is low and real-time analysis capability is lacking
Solution Approach 1:
The patent segments the experience analysis system into multiple components: context information acquisition module, experience sampling module, and real-time analysis module. This segmentation allows each module to specialize in specific functions, improving data reliability while maintaining manageable system complexity through modular design.
Solution Approach 2:
The patent introduces an experience analyzing server as an intermediary between user terminals and analysis systems. This intermediary collects context information, manages experience sampling queries, and processes data in real-time, thereby enhancing reliability without requiring complex processing at each terminal device.
2Productivity
If conventional service journey maps are used to schematize customer experience, then the implementation is simple with cross-sectional expressions, but real-time data collection during actual user experiences is limited
Solution Approach 1:
The patent transforms static service journey maps into dynamic real-time experience analysis systems. The system continuously updates experience data as users interact with services, enabling real-time tracking and analysis rather than relying on retrospective static maps, thus improving productivity in data collection.
Solution Approach 2:
The system performs preliminary actions by pre-defining experience sampling points and context information requirements before actual user experiences occur. This preparation enables automatic real-time data collection during user interactions without requiring complex processing during the actual experience moments.
3Loss of time
If conventional experience sampling methods are used with retrospective materials, then the implementation is straightforward, but data collection during the moment of actual user experience is restricted
Solution Approach 1:
The patent implements real-time feedback mechanisms where user experience data is immediately collected, processed, and analyzed as experiences occur. The experience analyzing server receives real-time inputs from user terminals and provides immediate analysis results, eliminating time delays inherent in retrospective methods while using structured feedback loops to manage system complexity.
Data Source
AI summary
There is provided a real-time experience analyzing method for enabling an experience analyzing server to analyze user's experience of an evaluation target service or an evaluation target product in real time. The method comprising transmitting query data including an experience evaluation indicator for the evaluation target service or the evaluation target product to a terminal of the user; receiving reply data input by the user through the terminal in response to the query data; and generating evaluation result data for the evaluation target service or the evaluation target product based on the reply data. The transmitting of the query data transmits the query data by a series of detailed behaviors consisting of the evaluation target service or the evaluation target product, and the generating of the evaluation result data generates evaluation result data based on the reply data received by the detailed behaviors or the detailed features.