Website User Experience Benchmarking via Satisfaction Scores
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Solution Overview
Problem
Current tools for analyzing website usage data fail to provide reliable, qualitative benchmarks for user experience across multiple websites, lacking the ability to recommend specific improvements for enhancing user interaction and making effective decisions for webpage revisions.
Innovation Solution
A method and system for benchmarking user experience quality across industries by computing site metrics, industry satisfaction scores, and comparing them to identify performance issues and areas for improvement, using a network system with an analytic server and database to process and report user interaction data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If quantitative analysis tools are used to score user engagement, then user interaction data can be measured, but the tools fail to provide qualitative analyses and reliable data captured on client websites
Solution Approach 1:
The patent merges quantitative metrics (page views, time on site, bounce rate) with qualitative analysis by integrating them into a unified satisfaction score calculation. This combination allows the system to provide both measurable data and reliable qualitative insights, resolving the contradiction between measurement precision and reliability in the related art tools.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring user interactions, calculating satisfaction scores, and providing actionable recommendations. This feedback loop ensures that the qualitative analysis is grounded in actual user behavior data captured on client websites, improving both measurement precision and data reliability simultaneously.
2Adaptability or versatility
If tools score negative sentiment of user engagement, then specific website performance can be evaluated, but the tools cannot benchmark performances across multiple websites
Solution Approach 1:
The patent creates a universal satisfaction score calculation that can be applied across multiple websites and industries. By establishing industry-specific satisfaction score ranges and using standardized metrics, the system enables cross-website benchmarking without requiring separate analysis tools for each website, thus improving adaptability while managing complexity through standardization.
Solution Approach 2:
The system adjusts parameters dynamically by defining different satisfaction score ranges for different industries and websites. This allows the same benchmarking framework to adapt to various contexts, enabling cross-website comparison while maintaining relevance for each specific industry, thereby improving versatility without proportionally increasing complexity.
3Ease of operation
If conventional tools execute qualitative and quantitative analyses, then analysis can be performed, but the tools fail to provide broad support for effective decisions regarding webpage revision
Solution Approach 1:
The patent incorporates feedback by generating actionable recommendations based on the satisfaction score analysis. The system identifies specific webpage elements that need improvement and provides guidance on revisions, transforming raw analysis data into actionable insights that directly support decision-making, thereby improving ease of operation while preventing information loss.
Solution Approach 2:
The system segments the analysis by identifying specific satisfaction score pillars (e.g., ease of use, information quality, navigation) and providing targeted recommendations for each segment. This segmentation allows decision-makers to focus on specific areas needing improvement, making the tool more operationally useful while preserving detailed actionable insights across different aspects of the website.
Data Source
AI summary
A system and method for benchmarking user experience quality on websites across an industry. The method includes computing first site metrics for a first website, wherein a site metric is a quantitative description of user activity on a web site; computing a first industry satisfaction score for the first website, wherein the industry satisfaction score quantifies an overall level of satisfaction of users interacting with the first website, wherein the industry satisfaction score is computed based on satisfaction score pillar values and the computed site metrics, identifying usage metrics within the collected usage; comparing the first industry satisfaction score computed for the first website to a second industry satisfaction score previously computed for a second website, wherein the first website and the second website are from the same industry; and reporting the comparison results.