Website Quality Diagnosis Interface with Dynamic Score Visualization
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Solution Overview
Problem
Websites face challenges in identifying and prioritizing quality issues such as broken links, misspellings, and accessibility problems, which affect user experience and compliance with accessibility standards, making it difficult for website owners to improve overall quality and maintain accessibility compliance.
Innovation Solution
A computer-implemented method and system that provides graphical user interfaces for website analysis, allowing users to assess quality scores, identify potential and actual issues, and prioritize improvements, with dynamic updates based on user input and accessibility conformity testing, enabling efficient resolution of issues across all webpages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If comprehensive website quality analysis is performed to identify all potential issues, then measurement precision of quality issues is improved, but device complexity and time consumption increase
Solution Approach 1:
The patent segments the website quality analysis into multiple independent modules: crawler module for data collection, analysis module for issue identification, ACT module for verification, and reporting module for results. Each module handles specific tasks separately, improving measurement precision while managing system complexity through modular architecture.
Solution Approach 2:
The patent introduces an intermediary verification process (ACT - Accessibility Conformity Testing) that acts as a mediator between initial issue detection and final quality assessment. This intermediary layer filters false positives and confirms actual issues, improving accuracy without requiring the entire system to be overly complex.
2Measurement precision
If comprehensive website quality analysis is performed to identify all potential issues, then measurement precision of quality issues is improved, but time consumption increases
Solution Approach 1:
The patent performs preliminary crawling and collection of website data before the actual quality analysis. The crawler module pre-gathers all necessary information (pages, links, media files) and stores it for subsequent analysis, reducing the time required during the actual quality assessment phase while maintaining comprehensive coverage.
Solution Approach 2:
The patent implements periodic verification through ACT questions that are asked at specific intervals during the analysis process. Rather than continuously verifying every potential issue, the system periodically checks issues at strategic points, reducing overall time consumption while maintaining high measurement precision.
3Reliability
If detailed issue identification is performed across all webpages, then reliability of quality assessment is improved, but productivity decreases
Solution Approach 1:
The patent divides the website into manageable segments (individual pages, sections, elements) and analyzes them independently through specialized modules. This segmentation allows parallel processing of different website portions, maintaining reliable detailed analysis while improving overall productivity through efficient resource utilization.
Solution Approach 2:
The system implements automated self-verification through ACT questions and algorithms that automatically validate identified issues without requiring manual review of every finding. The system serves itself by automatically filtering, verifying, and prioritizing issues, maintaining high reliability while significantly improving analysis productivity.
Data Source
AI summary
Disclosed are systems and methods for diagnosing website quality. The method can include analyzing, by a computing system, a website to determine a current value for a quality score of the website, identifying issues with the website, providing information to cause a client device to present: (i) a circle graphical element that indicates the current value, a first portion of the circle's circumference being a size that indicates the current value, and (ii) indications of categories of issues with the website that each include different sets of issues, receiving an indication that user input at the client device selected a user-selected category, determining a target value for the quality score that would result should all issues within the user-selected category be resolved, and providing information to cause the client device to add a target element at a location on the circle's circumference that represents the target value.