Web Portal Online Participation Model for Data Completeness
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Solution Overview
Problem
Conventional Fintech web portals face inefficiencies due to incomplete user data, leading to computationally resource-intensive operations and a less-than-ideal user experience.
Innovation Solution
A computer program product and system that automatically generates a web portal using an online participation model with rules such as Community, Hitchcock, Appointment, Progression, One-up, Status, and Smart criteria, incentivizing users to complete documents by providing visual indicators and notifications, thereby ensuring a complete data set for accurate recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the web portal requests complete user data for accurate recommendations, then recommendation accuracy improves, but user reluctance to provide data increases
Solution Approach 1:
The system performs preliminary actions by implementing visual progress indicators (progress bars, completion percentages) that show users how much data they have provided and what remains. This preliminary visualization of completion status motivates users to continue providing data by showing them progress toward a goal, thereby increasing user willingness to complete data collection while maintaining recommendation accuracy
Solution Approach 2:
The system implements continuous feedback mechanisms including progress bars that update in real-time as users provide data, completion notifications, and visual indicators showing how close users are to achieving complete profiles. This feedback loop motivates users to continue providing data by showing them their progress, resolving the contradiction between needing complete data and user reluctance to provide it
2Loss of information
If the web portal performs exhaustive searches for missing data, then data completeness improves, but computational resource consumption increases
Solution Approach 1:
The system performs preliminary identification and notification of missing data elements before executing exhaustive searches. By using progress indicators to track which data elements are missing and notifying users accordingly, the system avoids unnecessary computational searches for data that can be obtained more efficiently through user notification and direct input requests
Solution Approach 2:
The system implements self-service mechanisms where users are empowered to directly provide missing data through notifications and prompts, rather than requiring the system to perform exhaustive computational searches. The progress tracking system identifies what is missing and enables users to self-complete their profiles, reducing computational resource consumption while improving data completeness
3Ease of operation
If the web portal displays detailed progress indicators, then user engagement improves, but system complexity increases
Solution Approach 1:
The system segments the complex data collection process into manageable visual components including progress bars, completion percentages, and categorized data elements. By breaking down the overall progress into discrete, visual segments, the system maintains user engagement through clear feedback while managing system complexity through modular implementation of individual progress tracking components
Solution Approach 2:
The system employs color changes and visual indicia to convey progress status and engagement levels. Different colors indicate different completion stages or data categories, providing intuitive user engagement feedback without requiring complex text-based or numerical displays, thereby maintaining user engagement while controlling system complexity through visual design
Data Source
AI summary
A process retrieves, from a database, an online participation model. The online participation model includes a plurality of rules for generating a web portal that aggregates a plurality of documents corresponding to a user. Further, the plurality of rules includes a community criterion for displaying information associated with an additional user distinct from the user at the web portal. Additionally, the plurality of rules includes an appointment criterion that enables a user notification for document completion. The plurality of rules also includes a progression criterion that displays a visual slider corresponding to document completion according to a plurality of time-based demarcations. Moreover, the plurality of rules includes a status criterion that displays a plurality of visual indicia corresponding to a status of the user based on document completion. The process also automatically generates, with a processor, a web portal that complies with the plurality of rules.