Digital Consumer Experience Analytics Method
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Solution Overview
Problem
Current digital platforms lack an efficient, automated mechanism for real-time data collection and analysis of consumer experience, leading to inadequate enhancements in user experience due to the complexity of tracking various parameters and the absence of proactive solutions.
Innovation Solution
A method integrating computer-readable code into digital platforms to collect and categorize data into primary and secondary parameters, analyzing user interactions, and providing suggestions for improvement based on optimally running platform references, focusing on parameters like discoverability, accessibility, performance, and perception.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If manual tracking methods are used to monitor consumer experience parameters, then implementation complexity is reduced, but real-time data collection capability deteriorates
Solution Approach 1:
The patent replaces manual tracking mechanisms with automated computer-readable code integrated into digital platforms. This code automatically collects, categorizes, and analyzes consumer experience data in real-time, substituting mechanical/manual processes with automated computational systems that provide both real-time capability and manageable complexity through standardized implementations.
2Measurement precision
If comprehensive data collection on multiple consumer experience parameters is implemented, then analysis accuracy improves, but system complexity increases
Solution Approach 1:
The patent segments consumer experience data into distinct primary parameters (usability, performance, accessibility, discoverability, perception) and further divides them into secondary parameters. This hierarchical segmentation allows comprehensive monitoring of multiple aspects while managing system complexity through structured categorization and modular analysis approaches for each parameter type.
Solution Approach 2:
The patent creates a universal data collection and analysis framework that handles multiple types of consumer experience parameters through a common system architecture. The computer-readable code is designed to collect, categorize, and analyze diverse parameters (usability, performance, accessibility, etc.) using unified methods, reducing overall system complexity while maintaining comprehensive measurement capability.
3Productivity
If automated analysis mechanisms are deployed, then productivity of experience improvement increases, but initial implementation cost increases
Solution Approach 1:
The patent implements self-service automated analysis where the computer-readable code integrated into digital platforms automatically collects data, categorizes it into primary and secondary parameters, identifies root causes of consumer experience issues, and generates improvement suggestions without requiring external analytical resources. This self-service capability increases productivity while reducing ongoing implementation costs.
Solution Approach 2:
The patent establishes a feedback mechanism where collected consumer experience data is continuously analyzed and used to generate actionable insights that feed back into platform improvements. This automated feedback loop increases the productivity of experience improvement initiatives by enabling continuous optimization based on real-time data analysis, reducing the need for repeated manual assessment resources.
Data Source
AI summary
The present invention generally relates to a real time analytical method and particularly relates to a method for digitally accumulating a consumer experience and analyse the collected data to provide a plurality of suggestion for improving a consumer experience on a target software. The present method allows a consumer oriented data acquisition and analytics in a short time span thus easing a client to optimize their digital platform and enhance the consumer experience. The present invention analyses a plurality of major parameters such as discoverability, accessibility, performance, omni-channel and perception and a plurality of minor parameters for providing analytics.