Improving Web Page Quality Through Empirical Analysis of Web Metrics
摘要
Web page metrics refer to essential measurements that evaluate important but often neglected elements of a website. These metrics evaluate and contrast web pages based on performance indicators such as speed index, total blocking time, time to interactivity (TTI), cumulative layout shift, and first contentful paint (FCP). Key performance indicators include quality measures such as web application size, page length, link quality, and page layout. With the growth of online commerce, it is essential for websites to successfully inform and engage users. It is vital that websites are of the highest quality and perform optimally to maximize traffic and user satisfaction. This study examines Webby Awards data from 2017 to 2022 to categorize websites into high or low quality. This categorization is based on sixteen suggested quality indicators and six critical performance indicators. The results have significant implications for the design of online applications and websites as they are supported by a robust predictive algorithm that can accurately predict the quality of a website. This research aims to improve the understanding and application of effective web design methods essential for modern online platforms by focusing on quality and performance indicators.