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Lastly, denote the time for debugging and fixing the issue as `T` (in minutes). Let’s denote `o` as an average order total for a user across all the groups (an average across average total for a user per each group).įor the sake of simplicity, assume at least U users from all groups are placing an order every `t` minute. That probability depends on the number of critical UX issues across all the UI-specific issues (the less critical issues we have, the lower that probability). Potential revenue loss preventionĪssume we have N user groups and each group has the same probability of `p` that a user will close the website because of a pesky layout issue (for example, like a problem with scrolling or botched animation).
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This is a disaster waiting to happen for any business - especially when they’re anticipating peak user traffic, and they risk losing major profits.Īt this point you’re probably wondering: how to avoid such an issue? Let’s examine one of the many use-cases of why and how you may need to debug a getter/setter in JavaScript. Some users may tolerate such inconveniences once or twice, but if they try to navigate other categories on the website and encounter the same issue, they will simply go to a better-functioning website in search of their desired product. It looks like they’ve found the smoking gun. They notice that the page scrolls to the top by itself at some point between 1 and 10 seconds, preventing the user from browsing and selecting products. The technical staff decide to figure out what’s going on by opening an arbitrary category page and scrolling down. Why are potential customers leaving the site? However, they eventually notice that something is off: numerous user visits, for some unknown reason, end at the category page. They even have to refrain themselves from opening up a bottle of champagne and celebrating too early!
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All of this planning had led them to anticipate a torrent of orders that will multiply their profit margin.
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The e-commerce website’s executives can’t help but feel confident leading up to the holiday shopping rush. Clearly, the holiday season can be hectic for shoppers and businesses alike. It takes a lot of planning to pull everything off without a hitch and keep customers happy. Let’s just imagine what it’s like for a major e-commerce website in the weeks leading up to the Christmas holiday shopping rush: they’ve horizontally scaled their server, prepared a proper marketing campaign, and calculated their revenue projection.