This content originally appeared on NN/g latest articles and announcements and was authored by Rachel Banawa
Summary: Convenience sampling is quick and cost-effective for UX research, but probability sampling is better when you need representative and generalizable data.
When conducting UX research, choosing the right sampling method can ensure that your findings are both useful and reliable. Most UX practitioners use a sampling method called convenience sampling: recruiting participants based on ease of access. For many UX studies, this approach is fine — it’s fast, cost-effective, and sufficient for identifying major usability issues and patterns in user behavior. However, a more rigorous sampling method called probability sampling should be considered if you need higher confidence that your findings accurately represent a broader user population.
Convenience Sampling
Since many UX practitioners use convenience sampling, it’s important to understand what it entails.
Convenience sampling refers to the nonrandom selection of study participants who are readily available and convenient to access.
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This content originally appeared on NN/g latest articles and announcements and was authored by Rachel Banawa
Rachel Banawa | Sciencx (2025-04-18T17:00:00+00:00) Convenience vs. Probability Sampling in UX Research. Retrieved from https://www.scien.cx/2025/04/18/convenience-vs-probability-sampling-in-ux-research/
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