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Research: Analysis

UXmatters has published 5 articles on the topic Analysis.

Top 3 Trending Articles on Analysis

  1. What Is a Confidence Interval and Why Would You Want One?

    Good Questions

    Asking and answering users' questions

    A column by Caroline Jarrett
    November 7, 2011

    What is a confidence interval? I wanted to know that recently and turned to one of my favorite books: Measuring the User Experience, by Tom Tullis and Bill Albert. And here’s what they say:

    “Confidence intervals are extremely valuable for any usability professional. A confidence interval is a range that estimates the true population value for a statistic.”

    Then they go on to explain how you calculate a confidence interval in Excel. Which is fine, but I have to admit that I wasn’t entirely sure that once I’d calculated it, I really knew what I’d done or what it meant. So I trawled through various statistics books to gain a better understanding of confidence intervals, and this column is the result. Read More

  2. What Makes a Good Research Insight Great?

    June 19, 2017

    You’ve just completed a readout of your latest ground-breaking research, presenting an hour-long slideshow, and hopefully, you’ve wowed your audience with what you’ve shown them. But all too often, after you’ve reported your research results, everyone returns to their workspace and develops a serious case of insight amnesia. Stakeholders quickly forget the juicy morsels of information that would make your company’s products better. Your insights remain stuck in your slide deck and may never again see the light of day.

    There are two questions that arise from this dilemma: First, how can you make your research insights more readily available to product teams so they don’t have to slog through your deck to find them? There are multiple, well-known solutions to this problem. The second problem, which is the focus of this article, is how can you ensure that your product team uses your research insights? Read More

  3. Measuring Usability in a Lean Assembly Environment

    May 28, 2018

    Many well-known technologists have embraced the potential of augmented reality (AR). According to Tim Cook, Apple CEO, “We’re already seeing things that will transform the way you work, play, connect, and learn. Put simply, we believe AR is going to change the way we use technology forever.” Although an AR future sounds promising, the question remains: What real problems have we actually solved using AR? While people are chasing an augmented Pikachu around the globe, could AR disrupt an entire industry?

    As UX professionals at an AR startup, our focus was on leveraging technology to create more efficient methods of performing enterprise-related tasks. One such task was the lean assembly of complex products. Could the use of AR measurably improve this process? As our workforce ages, could AR play a vital role in the transfer of knowledge from experienced workers to novices? Finally, is it possible that this emerging technology could eliminate entry-level workers’ production errors? We attempted to answer these questions by conducting an experiment. Our objective was to gather quantifiable data to investigate whether AR work instructions on a head-mounted display (HMD) would improve key usability metrics. In comparison to standard, paper-based, exploded-view work instructions, could AR improve the assembly of an automotive alternator in a lean assembly environment? Read More

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