What is an example of a criterion for identifying top findings in the Waterfall analysis?

In the context of Waterfall analysis, identifying top findings is essential for optimizing web performance. The criterion of uncompressed text resources is particularly important because uncompressed files can significantly increase load times and impact overall application performance. Text resources, such as HTML, CSS, and JavaScript, are often vital for rendering the webpage and enhancing user experience. When these resources are uncompressed, they take up more bandwidth and can cause delays in loading, which is detrimental to performance metrics such as Time to First Byte (TTFB) and overall page load time.

Incorporating compressed versions of these text resources can substantially improve load speeds by reducing their file size, making this criterion a clear indicator of potential performance issues. In contrast, factors like resources under 50KB or those taking longer than 300ms might not specifically target the underlying compression issues that directly affect loading efficiency. Similarly, while CDN involvement can affect load times, it is not a definitive criterion for finding unoptimized resources within the Waterfall analysis framework.