Whether you’re a UX designer, product stakeholder, or some other kind of curious-minded product professional, you need to know what makes your users tick. My new column Discovery: Insights from UX research is about unearthing what is already there—just waiting for a UX researcher to discover it.
In Discovery, I’ll explore various approaches to gaining insights about your users by employing UX-research methods early in the product-development process. UX research can help you understand what would make your users’ lives easier.
When you’re asking questions during user-research interviews, the key to getting answers that are not tainted by bias depends on what the question is and how you ask it. Taking the time and thought to pose constructive, reflective questions, ensures that participants can provide the information you need to portray an accurate picture of the customer narrative. Encourage participants to take the time to reflect on your questions and ask you for clarification when necessary. Read More
In the last edition of Discovery, I explained how to collect data during your early-phase prototype research using tally sheets. If you missed that column, you might want to read it before reading this column to ensure you’ll get the most out of this one.
In this column, I’ll cover data analysis for a completed tally sheet, focusing on the following key areas:
findings versus insights—What’s the difference?
methods of analysis—We’ll look at grounded-theory techniques, using codes, and constant comparative analysis.
identifying themes in the data—These include the obvious, the less obvious, the not so obvious, and what didn’t happen. Read More
In this first installment of my series “Rows and Columns,” I’ll describe how to use some very powerful tools of spreadsheets that can make analyzing your UX research data much easier. For those who have been reluctant to use spreadsheets during analysis, this series is for you, and you’ll hopefully find this information useful. For those of you who have expertise in using spreadsheets, some of this information might be review.
The central part of any UX research project is the analysis of data. This task can be both satisfying and cumbersome at the same time. As you go through your data, you might become excited as you recognize emerging patterns or see great variations across participants. However, getting to the point at which you can easily see such trends can be quite difficult. Your data must be in a format that affords easy filtering, so you can decipher the various rows and columns across participants.
Part 1 of this series covers the following features of spreadsheets, which can facilitate your understanding of the data you’ve gathered:
form elements such as checkboxes and drop-down lists Read More