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It was another busy year on MeasuringU.com with 50 new articles, a new website, a new unmoderated research platform (MUIQ), and our 5th UX Bootcamp. In 2017 over 1.2 million people viewed our articles. Thank You! The most common topics we covered include: usability testing, benchmarking, the 3Ms of methods, metrics and measurement, and working with online panels. Here’s a summary of the articles I

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Task completion is one of the fundamental usability metrics. It’s the most common way to quantify the effectiveness of an interface. If users can’t do what they intend to accomplish, not much else matters. While that may seem like a straightforward concept, actually determining whether users are completing a task often isn’t as easy. The ways to determine task completion will vary based on the

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There are a number of ways to quantify the value of your customers throughout the customer journey. While the "best" metrics depend on your goals and specific context, here is a list of 10 that most organizations should collect. They include a mix of the four types of customer analytics to collect: descriptive, behavioral, interaction and attitudinal. Customer Revenue: Understanding where, when and how much

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Website navigation is at the heart of good findability. To measure findability, we perform a tree test or a click test on a live website. In both types of studies, we collect many metrics to help uncover problems with terms and taxonomy. While the fundamental metric of findability is whether users find an item or not, often other metrics provide clues to problems in the

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It's often called web surfing or web browsing, but it probably should be called web doing. While there is still plenty of time to kill using the web, in large part, we're all trying to get things done. Purchasing, reserving, comparing and communicating—Internet behavior is largely a goal directed activity. If a website doesn't help users accomplish their goals then it's unlikely users will return

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Ask a user to complete a task and they can tell you how difficult it was to complete. But can a user tell you how difficult the task will be without even attempting it? It turns out the task description reveals much of the task's complexity, so users can predict actual task ease and difficulty reasonably well. The gap in expectations can be a powerful

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In a usability test you typically collect some type of performance data: task times, completion rates and perhaps errors or conversion rates. It is also a good idea to use some type of questionnaire which measures the perceived ease-of-use of an interface. This can be done immediately after a task using a few questions (post-task questionnaires). It can also be done after the usability testing

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Imagine a marketing department asking for more money to conduct a direct-mail campaign and their only justification was that marketing is a critical business advantage. Now contrast that with an argument that showed that in a previous direct-mail campaign the response rate of 3% was more than twice the industry average and was achieved from testing a sample of the campaign on customers. The test

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