  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.
