Dynamic Data Collection Module Generation for User Conversion
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Solution Overview
Problem
Existing data collection methods for online registration and services are standardized and static, failing to account for individual user parameters and device information, leading to a tedious and complicated process that hampers user conversion rates.
Innovation Solution
An automated and interactive system generates optimized data collection processes tailored to individual users and devices by a third-party server, using dynamic and static data to create customized data collection modules that adapt based on user interactions and behavioral patterns, ensuring a seamless and user-friendly experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If standardized and static online forms are used for data collection, then the data collection process is simple to implement, but the user conversion rate decreases due to the tedious and complicated experience for users
Solution Approach 1:
The patent transforms static, standardized forms into dynamic, adaptive data collection processes. The system automatically generates customized forms based on user device information, behavioral patterns, and real-time interactions, making the data collection process flexible and responsive to individual user needs rather than following a rigid predetermined structure
Solution Approach 2:
The system changes multiple parameters of the data collection process including form structure, question sequencing, input methods, and presentation format based on user characteristics. By dynamically adjusting these parameters according to user device type, interaction history, and behavioral patterns, the system optimizes conversion rates while maintaining implementation feasibility through automated generation
2Ease of operation
If manual data filling through standardized forms is required, then data collection is straightforward, but the process becomes tedious and complicated for users
Solution Approach 1:
The system enables users to automatically populate form fields through device-integrated capabilities such as camera-based document scanning, microphone-based voice input, and automatic extraction from device storage. Users simply point their device cameras at documents or speak their information, and the system automatically extracts and fills relevant data, eliminating manual typing while maintaining data quality
Solution Approach 2:
The patent replaces manual mechanical data entry (keyboard typing) with automated optical and acoustic recognition systems. Camera-based OCR technology substitutes for manual text input, while voice recognition microphones replace keyboard interaction, significantly reducing the physical effort and time required for data entry
3Productivity
If automated data collection tools are implemented, then user conversion improves, but the data collection process becomes more complex
Solution Approach 1:
The patent introduces a third-party server as an intermediary between the service provider and user devices. This intermediary handles the complex tasks of analyzing user characteristics, generating customized forms, coordinating multiple data collection modules, and processing automated inputs. The service provider only needs to integrate a simple script, while the intermediary manages the sophisticated automation logic
Solution Approach 2:
The system divides the data collection process into independent, modular components including device information gathering, behavioral analysis modules, form generation engines, and multiple specialized data collection methods. Each module operates independently and can be selectively activated, reducing overall system complexity through functional decomposition
4Adaptability or versatility
If customized data collection processes are generated for each user, then user experience improves, but the processing requirements increase
Solution Approach 1:
The system performs preliminary analysis of user device information and characteristics before the actual data collection begins. By pre-processing device metadata, browser information, and available capabilities upfront, the system can generate appropriate form structures and select suitable collection methods without requiring intensive real-time processing during user interaction
Solution Approach 2:
The patent applies different levels of processing intensity and customization based on local user characteristics and device capabilities. Rather than uniformly applying complex analysis to all users, the system adapts the degree of customization and processing resources allocated to each user based on their specific device type, interaction context, and data collection requirements
Data Source
AI summary
The invention relates to a computer implemented method and system for generating a data collection process for a user device. The method comprises: receiving, at a third-party server, an instruction to begin a data collection process for a user operating a user device; receiving, at the third-party server, static data from the user device; determining, at the third-party server, a set of data to be collected from the user; generating, at the third-party server, code for a first data collection module based on the set of data to be collected from the user; providing, from the third-party server, the code for generating the first data collection module to the user device; receiving, at the third-party server, confirmation that a user of the user device has provided the information required by the first data collection module to the service-provider server; and determining if the user has provided the set of data to be collected.