Any usability study is only as good as the people who sit down to use the interface. Participant selection and recruitment is the process of deciding who your target users actually are, writing down the criteria that qualify or disqualify someone from your study, finding those people, confirming they really match your criteria, and getting them scheduled into sessions. Get this wrong and even a perfectly run test session produces findings that do not describe your real users.
In this module you will be running controlled test sessions and collecting measurable data, so recruitment directly determines whether that data means anything. A sample drawn from convenient friends and classmates, or from people who misrepresented their experience on a screener, introduces bias that cannot be corrected afterward. Sample size matters too: the number of participants you need depends on whether you are looking for qualitative insight into problems or quantitative estimates of metrics such as task time and completion rate.
As you watch the three videos below, keep a running list of practical decisions you will have to make for your own study: how you would word a screener question so it does not telegraph the "right" answer, which recruiting channel fits your budget and timeline, what you would exclude on, and how many participants your study goal actually justifies. All three come from Nielsen Norman Group, a long-established usability research and consulting firm, so expect practitioner-oriented guidance rather than academic theory.
This video surveys five different channels for finding user research participants, from recruiting agencies and customer lists to intercepting users in context and online panels. Based on the title and description, it frames each option around the central requirement that participants genuinely represent the target audience, and it is likely to touch on the trade-offs in cost, speed, and quality among the methods. Expect concrete tactics you could apply to a student project as well as to industry work.
It maps directly onto the screening and recruitment methods subtopic and gives you more than one option, which is useful when the ideal recruiting channel is out of reach for a course project. NN Group is a well-known source of applied usability guidance, so the advice reflects current professional practice.
This video focuses on screening, the step between identifying candidates and admitting them to your study, and presents best practices for recruiting participants who truly match the target audience. The title signals an emphasis on how poor screening introduces bias, which connects screening questions to the validity of the data you later collect. Expect guidance on how screener wording and candidate self-selection can let the wrong people into a study.
It covers inclusion and exclusion criteria and screening in a single focused five minutes, and it explicitly ties recruitment decisions to bias, which is the reason this topic matters for your data. It pairs naturally with the recruitment-methods video as the quality-control step that follows.
This video addresses sample size and argues that the widely cited figure of five users applies to qualitative usability testing, not to quantitative studies. It explains why the number of participants needed differs between finding usability problems and estimating metrics with reasonable confidence. Expect a clear statement of when the small-N rule of thumb is appropriate and when a larger sample is required.
It targets the sample size subtopic directly and corrects one of the most commonly misapplied rules in usability work, which matters because you will be collecting both qualitative and quantitative data in this module.
Together these videos set up the conditions under which the module outcomes can actually be met. Recruiting and screening representative participants is what makes a facilitated test session (MO1) produce findings about your intended users rather than about whoever was available. The sample size video supports MO2 by clarifying how many participants different kinds of data require, so that task completion rates, error counts, and time-on-task are gathered from an appropriate number of people, while think-aloud observations can come from a smaller qualitative sample. The screening video supports MO3 most directly: participants who do not meet your criteria, or who were primed by a leading screener, are a source of confounded observations, and recognizing that at recruitment time is easier than diagnosing it in your results.
These videos were chosen from YouTube on October 3, 2026. Each has captions; the player turns them on. Videos on YouTube can be changed or removed — if one no longer plays, tell your instructor. If a player does not appear, use its Watch on YouTube link.