Register Now to Beegin Your Journey!

Register Now For Free to Beegin Your Journey!

Register Now to Beegin Your Journey!Register for free
Back to index

Confidence Level

What is Confidence Level?

The confidence level quantifies the degree of certainty in the accuracy of a confidence interval. Researchers select this value, with common choices in UX research being 95% or 90%. Opting for a lower confidence level implies a greater acceptance of the risk that the confidence interval might not encompass the true value of a metric for the entire user population.

glossary bee

Why is Confidence Level Important?

  • Certainty Quantification: The confidence level measures the degree of certainty in the accuracy of a confidence interval, aiding researchers in assessing the reliability of their estimates.
  • Researcher Control: Researchers select the confidence level, typically opting for common values like 95% or 90% in UX research. This choice reflects their tolerance for potential estimation errors and guides decision-making regarding the interpretation of results.
  • Risk Acceptance: Choosing a lower confidence level indicates a higher tolerance for the risk that the confidence interval may not capture the true population parameter. This awareness helps researchers balance the need for precision with the acceptance of uncertainty in statistical estimation.

Achieve your Research Objectives with UXtweak!

Transform your research objectives into actionable insights with our research tools!

Register for free

Learn More


Product Design

Product Design

Creating successful products that users love requires an iterative and structured approach with a lot of research and testing behind it. Today we’ll take a look at the process of successful product design and learn what you can do to ensure that your future product gets the love and recognition it deserves.

Confounding Variable