Scoping a project’s user-research phase is a classic Catch-22 situation. Before the project begins, you have to plan the user research activities and the time involved, but you rarely have enough information to make these decisions until after the project begins. In my latest article on UXmatters, I discuss some of the problems you may encounter when trying to scope user research, and I provide advice about how to make scoping more accurate.
Check it out: Scoping User Research
In user research, we primarily do two things – observe people and ask questions. Ideally, we want to observe people’s natural behavior, without having our presence influence what they do.
Observation sounds deceptively simple. You sit and watch what people do. It seems like anyone can do that. But to get the most value out of observation, there’s more to it than passively looking and listening.
In my latest UXmatters article, I examine what observation involves, the different types of observation methods, and explore a more rarely used method in UX research – naturalistic observation. The Role of Observation in User Research
Image courtesy of: You Belong in Longmont
As UX researchers, we tend to focus more time on explaining our findings than in providing our recommendations. Yet, however well we explain the findings and recommendations, there comes a time when we’re not present, and the people who have to implement the recommended changes have to rely on the written recommendations and what they remember from your explanation. So it’s very important to ensure that your UX recommendations are understandable, concise, specific, believable, authoritative, actionable, feasible, flexible, prioritized, and easy to review. I provide advice on how to provide better recommendations in my latest article on UXmatters:
Providing Better UX Recommendations
Any user research is better than doing no user research, right? If you can’t reach your target users, you can do research with your company’s employees, because they’re kind of similar right? If you can’t visit people in person to see them perform their tasks, maybe you can do phone interviews or send out a survey. That’s better than nothing, right?
The truth is that it’s sometimes better not to do any user research than to do half-assed user research. I’m not saying that you always have to the perfect user research conditions or its not worth doing. In reality, we rarely have all the time we need and the perfect circumstances to conduct extensive user research. So it’s understandable that we sometimes have to cut corners and make do with what we’re able to get. However, there’s a fine line between discount user research and half-assed user research.
The danger is when you always cut corners, you can become an enabler. Your shortcuts become the norm, allowing your company to check off the user research checkbox, allowing them to say, “Yes, we do user research.” If you can’t eventually convince them to devote more time and effort to user research, sometimes it’s better to practice tough love and let them fail by not doing any user research, rather than allowing them to rely on poor quality research.
In my latest UXmatters article, I provide advice about how to know when you’re practicing half-assed user research and how to improve. Check it out: Avoiding Half-Assed User Research
Image by Spider.Dog
A key skill you need for usability testing is the ability to work well with a variety of different types of people. You meet all kinds of people as usability testing participants. Over time, you get used to adjusting your approach to different personalities and characteristics. Most people are easy to deal with. However, some people present challenges.
In my latest UXmatters article, “Wrangling Difficult Usability Testing Participants,” I discuss ten types of challenging participants and how to best adjust your interaction with them to get the best testing experience.
In my latest article on UXmatters, Five Degrees of User Assistance, I bring up a character that people love to hate – Clippy, of course! Although I do have sort of a soft spot for the little guy, he is a great example of unwanted user assistance.
Poor Clippy! It really wasn’t his fault, he came along at a time when computers were too stupid to accurately predict when people needed help. Programmed to jump out when certain events occurred, to enthusiastically offer his assistance, instead he came across as an unwanted interruption and annoyance.
Today, as technology becomes increasingly intelligent, computers are smart enough to provide more appropriate and more accurate user assistance. In my latest article I describe these five levels of user assistance:
- Passively providing online Help content. Here’s help if you need it.
- Asking if the user needs help. Can I help you?
- Proactively offering suggestions that users can accept or ignore. Is this what you want, or do you want to correct this?
- Alerting the user that it’s going to take an action automatically, unless the user says not to. I’m going to do this, unless you tell me not to.
- Automatically taking an action for the user, without asking for permission. I’ve got this for you. Don’t worry about it.
Check it out at UXmatters: Five Degrees of User Assistance
Image source: Clippy, created by J. Albert Bowden II and licensed under CC BY 2.0