User Experience
Sampling
Plain English
Looking at a smaller group to understand the whole.
Definition
Sampling is the glossaryProcessA process is a defined sequence of steps used to achieve a specific outcome.Open glossary term of selecting a subset of glossaryDataData is raw, uninterpreted information collected and stored so it can be analysed, processed, or used to inform decisions. On its own it carries no meaning; context and interpretation are what make it useful.Open glossary term or users to represent a larger population.
In practice
Used in serviceUser ResearchUnderstand user behaviour, validate ideas, and make clearer product decisions with evidence you can act on.Open service and analytics when analysing all glossaryDataData is raw, uninterpreted information collected and stored so it can be analysed, processed, or used to inform decisions. On its own it carries no meaning; context and interpretation are what make it useful.Open glossary term is impractical.
In context
Who you leave out shapes the answer. Recruiting only current active users produces a study that cannot see why anyone left.
The reality
Poor sampling glossaryLeadA lead is a potential customer who has shown interest in a product or service, typically by providing contact information or engaging with content.Open glossary term to biased and unreliable conclusions.
Compared with
Sampling vs Sample Size
Sampling is how participants are selected and whether they represent the population. glossarySample SizeSample size refers to the number of participants included in a study or test.Open glossary term is how many. A large badly selected sample is more misleading than a small well-chosen one, because it comes with false glossaryConfidenceConfidence is the level of certainty in a decision or outcome based on available evidence.Open glossary term.
FAQ
Common questions
A few practical answers to the questions that usually come up around this term.
What is sampling?
Selecting a smaller group from a larger population.
Why is sampling used?
To make analysis more practical and efficient.
What is sampling bias?
When the sample does not represent the full population.
How do you ensure good sampling?
By making the sample representative.
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