Sign up to save your podcasts
Or
Share Common Pitfalls in Setting up A/B Tests
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
Common Pitfalls in Setting up A/B Tests
This story was originally published on HackerNoon at: https://hackernoon.com/common-pitfalls-in-setting-up-ab-tests.
Identify common A/B testing pitfalls and learn to over come them.
Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories.
You can also check exclusive content about #ab-testing, #product-development, #product-management, #business, #business-strategy, #user-experience, #business-intelligence, #tips, and more.
This story was written by: @hacker9546371. Learn more about this writer by checking @hacker9546371's about page,
and for more stories, please visit hackernoon.com.
Despite being a statistical experiment, A/B testing is quite close to being a form of art. Its apparent simplicity is deceiving, as many variables should be taken into account. Being a professional in A/B testing requires seeing a big picture, which includes all aspects of the product subject to testing; technical issues that might affect different versions’ perception; real-life context of the experiment and many other factors that may have an unexpected influence on the test results. Moreover, understanding human nature and taking a critical approach to interpreting data no matter how good it looks at first sight is a must.
View all episodes
By HackerNoonThis story was originally published on HackerNoon at: https://hackernoon.com/common-pitfalls-in-setting-up-ab-tests.
Identify common A/B testing pitfalls and learn to over come them.
Check more stories related to tech-stories at: https://hackernoon.com/c/tech-stories.
You can also check exclusive content about #ab-testing, #product-development, #product-management, #business, #business-strategy, #user-experience, #business-intelligence, #tips, and more.
This story was written by: @hacker9546371. Learn more about this writer by checking @hacker9546371's about page,
and for more stories, please visit hackernoon.com.
Despite being a statistical experiment, A/B testing is quite close to being a form of art. Its apparent simplicity is deceiving, as many variables should be taken into account. Being a professional in A/B testing requires seeing a big picture, which includes all aspects of the product subject to testing; technical issues that might affect different versions’ perception; real-life context of the experiment and many other factors that may have an unexpected influence on the test results. Moreover, understanding human nature and taking a critical approach to interpreting data no matter how good it looks at first sight is a must.