benchmark-metrics

UX

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A benchmark study tells you where a website, app, or product falls relative to some meaningful comparison. This comparison can be to an earlier version, the competition, or industry standard. Benchmark studies are often called summative evaluations as the emphasis is less on finding problems and more on quantitatively assessing the current experience. To quantify, you need metrics and UX benchmark studies can have quite

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Mobile technology continues to evolve at a rapid pace. To help keep up, we pulled together relevant insights about the mobile user experience and mobile usage in general. This is an updated article to the 2017, 2016, 2015, and 2013 articles based on published data and our own mobile UX research. Cellphones are ubiquitous. A Pew Research report suggests that 95% of Americans own a cellphone; around

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Unmoderated testing platforms allow for quick data collection from large sample sizes. This has enabled researchers to answer questions that were previously difficult or cost prohibitive to answer with traditional lab-based testing. But is the data collected in unmoderated studies, both behavioral and attitudinal, comparable to what you get from a more traditional lab setup? Comparing Metrics There are several ways to compare the agreement or

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Small differences in design changes can have large consequences on website purchases. But detecting these small differences (e.g. 2%–10% changes) through behaviors and attitudes has generally not been feasible from traditional lab-based testing due to the time and costs of recruiting and facilitator costs/time. With unmoderated testing, organizations can now collect data from hundreds to thousands of participants quickly and from around the world to

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In Benchmarking the User Experience, I write about the importance of a regular plan for quantifying the user experience of your websites, apps, or devices. This involves collecting metrics, usually at both task and study levels. But the point of benchmarking isn’t just to collect metrics to put on a dashboard, it’s to ultimately improve them. A common question we receive when conducting benchmark studies

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A lot of UX methods exist along with recommendations on when to use them. Some activities tend to cross methods: from operationalizing research questions, making data collection more efficient, and making the most of both what users say and what they do. Here are five techniques we’ve found that make our UX research more effective (and often more efficient). 1. Use a Research Matrix To ensure a

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UX metrics are a mix of attitude (what people think) and actions (what people do). To fully measure the user experience, you need to measure both. UX metrics are influenced by more than an interface. Users have preconceived notions about companies and this affects both how they think and what they do when they interact with a brand—either in a store or online. Brand attitudes

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This Valentine’s Day around $2 billion will be spent on flowers. A lot of that ordering will be online. Poor online experiences mean shoppers will abandon an order and go somewhere else, or not return when they need to purchase flowers again. Having a strong user experience will ensure customers can find the right arrangement, for the right price, and have the flowers delivered fresh

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UX research efforts should be driven by business questions and a good hypothesis. Whether the research is a usability evaluation (unmoderated or moderated), survey, or an observational method like a contextual inquiry, decisions need to be made about question wording, response options, and tasks. But in the process of working through study details, often the original intent of the study can get lost. At its

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