User Experience
Sample Size
Plain English
How many people you include in your serviceUser ResearchUnderstand user behaviour, validate ideas, and make clearer product decisions with evidence you can act on.Open service.
Definition
Sample size refers to the number of participants included in a study or test.
In practice
Determined based on serviceUser ResearchUnderstand user behaviour, validate ideas, and make clearer product decisions with evidence you can act on.Open service goals, methods, and level of glossaryConfidenceConfidence is the level of certainty in a decision or outcome based on available evidence.Open glossary term required.
In context
The right number depends on the question. Five is a reasonable rule for finding glossaryUsabilityUsability is how easy and efficient it is for users to complete tasks within a product. It focuses on clarity, simplicity, and reducing effort so users can achieve their goals without confusion or friction.Open glossary term problems and nowhere near enough to claim a percentage.
The reality
Bigger is not always better, quality and relevance matter more.
Compared with
Sample Size vs Sampling
Size is how many participants. glossarySamplingSampling is the process of selecting a subset of data or users to represent a larger population.Open glossary term is how they were chosen and who they represent. A study with the right size and the wrong sample answers the question confidently for the wrong people.
FAQ
Common questions
A few practical answers to the questions that usually come up around this term.
What is sample size?
It is the number of participants in a study.
How do you decide sample size?
Based on serviceUser ResearchUnderstand user behaviour, validate ideas, and make clearer product decisions with evidence you can act on.Open service goals and method.
Is bigger always better?
No, relevance and quality matter more.
What is a common mistake?
Using too few or the wrong participants.
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