Please fill out the conference survey - it helps us learn how to create a better conference each year.
Back To Schedule
Friday, May 15 • 9:15am - 10:00am
How to Visualize Quantitative Data from User Research

Sign up or log in to save this to your schedule, view media, leave feedback and see who's attending!

Whichever type of user research you conduct, you are going to have some type of quantitative data. Even if you are doing qualitative user research, you can still collect quantitative data or sometimes convert qualitative data to quantitative data. When you have quantitative data in hand, how to visualize them? Which visualization approaches are appropriate for your data?

To answer these questions, this presentation will first give an overview of the visualization methods for quantitative data, ranging from the simple statistical graphs to the more sophisticated visualization techniques. This is to illustrate the variety of the data visualization possibilities.

Then the presentation will focus on the common quantitative data types from user research and show the possible data visualization methods for those data types. A number of real-world user research examples will be shown so that everyone can learn from the concrete examples. Common software tools for data visualization will be demoed as well so that the audience can gain practical knowledge. 

The user research examples will range from most common user research data types to less common ones to make sure each attendee will get something valuable from this presentation.  As one simple example: you have tested two designs Design 1 and Design 2 with ten participants and gathered performance data for each design. Your goal is to find out which design is better in terms of performance. What should you do in this case? How do you visualize all the participants' performance data from Design 1 and Design 2? How do you show the difference? How do you indicate if the performance is significantly different for these two designs?  

Finally, the presentation will discuss about the factors that should be kept in mind when choosing the appropriate data visualization method. For example, the audience type, data-ink ratio, accuracy, and so on.

In summary, from this presentation the audience can learn the variety of visualization methods, how to choose appropriate visualization methods for their user research data, and how to use software tools to create commonly used visualization.

avatar for Minmin Yang

Minmin Yang

Principal UX Lead, Amazon
Minmin is a well-rounded UX practitioner with ten years of industry experience of interaction design and user research. She has a Ph.D. in Human-Computer Interaction and taught the interaction design and prototyping class at Bentley's HFID program. Currently she is working on a brand... Read More →

Friday May 15, 2015 9:15am - 10:00am EDT
Back Bay C/D

Attendees (0)