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Online dating websites are one of the primary ways people find dates and even future spouses. These sites represent the bulk of a 3 billion dollar dating services industry. In fact, around 30% of recent marriages started online, but it’s not like finding a date is as easy as filtering choices on Amazon and having them delivered via drone the next day (not yet at

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No one likes getting lost. In real life or digitally. One can get lost searching for a product to purchase, finding medical information, or clicking through a mobile app to post a social media status. Each link, button, and menu leads to decisions. And each decision can result in a mistake, leading to wasted time, frustration, and often the inability to accomplish tasks. But how

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A usable product is a better product. But even the most usable product isn’t adequate if it doesn’t do what it needs to. Products, software, websites, and apps need to be both usable and useful for people to “accept” them, both in their personal and professional lives. That’s the idea behind the influential Technology Acceptance Model (TAM). Here are 10 things to know about the TAM.

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The hold music. The wait time. The menu that always seems to have just changed. Calling customer service is not usually what people want to do in their spare time. But it’s often necessary and represents an important touchpoint for companies that interact with their customers. Understanding why people call customer support is also a good place to start identifying problems in the user experience

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How much did you spend on Amazon last week? If you had to provide receipts or proof of purchases, how accurate do you think your estimate would be? In an earlier article we reported on the first wave of findings for a UX longitudinal study. We found that attitudes toward the website user experience tended to predict future purchasing behavior. In general, customers of websites

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Watching how people interact with an interface tells you a lot about what works and what needs improvement. And while observing behavior is essential for understanding the user experience, it’s not enough. Just because a product does what it should, is priced right, and is reliable, doesn’t mean it provides a good user experience. Users can think the experience is too complicated or difficult. For

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UX attitudes can be associated with future website behaviors. We described how to create this linkage in an earlier article that described the results of an exploratory longitudinal study. In that article, we discussed the common challenges involved with linking attitudes to behaviors. Notably, attitudes about a general concept (user experience) can have difficulty predicting specific behaviors (future purchases). Often the lack of relationship between attitudes

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Buying and selling a car usually starts online. While few people purchase cars online without seeing them in person first, the vast majority conduct substantial research online before they set foot in a dealership. Sellers are also equipped with the fair market value of their cars and what they can expect in a trade-in to a dealer or when selling it to private parties. Much

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Users' attitudes about an experience affect their future behavior. People who think a website is less usable or less attractive will probably visit less, purchase less, and recommend the website less. Understanding users’ attitudes now (easier to measure) can help predict users’ behavior in the future (harder to measure). At least that’s the idea behind using standardized questionnaires such as the SUPR-Q. But there’s actually not

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You’ve probably taken a survey or two in your life, maybe even this week. Which means you’ve probably answered a few types of survey questions, including rating scale questions. Earlier I outlined 15 common rating scale questions with the linear numeric scale being one of the most used. Examples of linear numeric scales include the Single Ease Question (SEQ) and the Likelihood to Recommend item (LTR)

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