论文标题
“合并结果并不是一件容易的任务”：一项关于UX从业者中协作数据分析实践的国际调查研究
"Merging Results Is No Easy Task": An International Survey Study of Collaborative Data Analysis Practices Among UX Practitioners
论文作者
论文摘要
分析是UX从业人员寻求确定可用性问题并产生重新设计建议的可用性测试的关键部分。尽管先前的研究报告了如何进行分析，但这些发现通常集中在个人分析上，或基于特定地理区域的少数专业人员。在数据分析期间，我们对279位UX从业人员进行了一项在线国际调查，涉及他们的实践和挑战。我们发现，UX从业人员经常承受进行分析的时间压力，并采用了三种协作模式：独立分析数据的不同部分，然后进行协作，几乎没有或没有独立分析，并独立分析相同的数据集，然后进行协作，然后进行协作。此外，大多数遇到的挑战与缺乏资源，与同事有关可用性问题的分歧以及难以合并多个从业者的分析。我们讨论设计含义，以更好地支持协作数据分析。
Analysis is a key part of usability testing where UX practitioners seek to identify usability problems and generate redesign suggestions. Although previous research reported how analysis was conducted, the findings were typically focused on individual analysis or based on a small number of professionals in specific geographic regions. We conducted an online international survey of 279 UX practitioners on their practices and challenges while collaborating during data analysis. We found that UX practitioners were often under time pressure to conduct analysis and adopted three modes of collaboration: independently analyze different portions of the data and then collaborate, collaboratively analyze the session with little or no independent analysis, and independently analyze the same set of data and then collaborate. Moreover, most encountered challenges related to lack of resources, disagreements with colleagues regarding usability problems, and difficulty merging analysis from multiple practitioners. We discuss design implications to better support collaborative data analysis.
