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[https://www.nngroup.com/articles/summary-quant-sample-sizes/?utm_source=Alertbox&utm_campaign=6b433997b0-EMAIL_CAMPAIGN_2020_11_12_08_52_COPY_01&utm_medium=email&utm_term=0_7f29a2b335-6b433997b0-24361717] - - public:weinreich
design, quantitative, research - 3 | id:744486 -

40 participants is an appropriate number for most quantitative studies, but there are cases where you can recruit fewer users.

[https://uxdesign.cc/user-research-is-more-the-merrier-9ee4cfe46c7a?ref=uxdesignweekly] - - public:weinreich
design, qualitative, quantitative, research, target_audience - 5 | id:177113 -

Small, medium or large — what sample size of users fits your study is a composite question. The magic number of 5 users may work magic in some studies while in some it may not. It depends on the constraints put on by project requirements, assumptions about problem discoverability and implications to the design process. Assess these factors to determine the number of users for your study: What’s the nature and scope of research — is it exploratory or validatory? Who and what kind of users are you planning to study? What’s the budget and time to finish the study? Does your research involve presenting statistically significant numbers or inferring behavioural estimates for the problem statement?

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