Time to Interactive
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Time to interactive (TTI) is a metric that measures how long it takes a page to respond to user interactions without lag. It indicates how long a website needs to process input from users. The TTI is one of many metrics used to measure the loading time of a website that corresponds to usage, therefore relevant to the user experience.
Time to interactive is a metric intended to give developers and webmasters an alternative to conventional loading time. It has not yet been standardized, but is used in tools such as Lighthouse. Google wants to standardize this metric in the future.
Prerequisites for determining the TTI
- The website has displayed useful content. In the Lighthouse tool, the metric "First Contentful Paint" is also used here.
- The page reacts consistently within 50 milliseconds to user input. Thus, all important scripts are loaded and do not generate a long pause after user input.
The TTI is measured on the basis of the RAIL model. This is a performance model for websites. The acronym "RAIL" stands for "Response", "Animation", "Idle" and "Load".
Optimization of the TTI
There are different ways of optimizing the TTI of a website:
- Unused scripts are not loaded. Ideally, only sources that are necessary for the optimal user experience are loaded.
- Each script is loaded only once
- The loading time of resources can be reduced through compression
Advantage for SEO
The TTI is a non-standardized measure used to measure how ready a website is for user input, and therefore interactivity. It is useful for search engine optimization, in particular through its role in improving the user experience. However, it should be taken into account that the TTI is only a theoretically determined metric, and can only give an approximation of the expected user experience. For example, the TTI does not replace user experience tests that are carried out with real people in the context of usability testing.
- A Technical SEO Guide to Lighthouse Performance Metrics searchenginejournal.com Accessed on July 9, 2019
- RAIL developers.google.com Accessed on July 2, 2019.