Research: User Research

Both qualitative and quantitative methods of user research play important roles in product development. Data from quantitative research—such as market size, demographics, and user preferences—provides important information for business decisions. Qualitative research provides valuable data for use in the design of a product—including data about user needs, behavior patterns, and use cases. Each of these approaches has strengths and weaknesses, and each can benefit from our combining them with one another. This month, we’ll take a look at these two approaches to user research and discuss how and when to apply them. Read More

User research consists of two core activities: observing and interviewing. Since we’re most interested in people’s behavior, observing is the most important of these activities because it provides the most accurate information about people, their tasks, and their needs.

While interviewing is also very important, the information people provide during interviews isn’t always accurate or reliable. Often, research participants don’t know why they do things, what they really need, what they might do in the future, or how a design could be improved. To really understand what people do, you can’t just ask them, you have to observe them.

But exactly what is observation, and what does it entail? Though we all know what the word observation means and everyone knows how to look and listen, there is more to it than just pointing your eyes in a particular direction, listening, and taking notes. By doing a little research, I found many books and articles about interviewing, but surprisingly few about how to observe research participants. So, in this column, I’ll first explore what observation is and the different types of observation methods, then focus on one particularly useful, yet underused UX research method: naturalistic observation. Read More

Metrics are the signals that show whether your UX strategy is working. Using metrics is key to tracking changes over time, benchmarking against iterations of your own site or application or those of competitors, and setting targets.

Although most organizations are tracking metrics like conversion rate or engagement time, often they do not tie these metrics back to design decisions. The reason? Their metrics are too high level. A change in your conversion rate could relate to a design change, a promotion, or something that a competitor has done. Time on site could mean anything. Read More