Data is an invaluable tool for web designers who are making decisions about the user experience. A/B tests, or split tests, are one of the easiest ways to measure the effect of different design, content, or functionality, helping you create high-performing user experience elements that you can implement across your site. But it’s important to make sure you reach statistically significant results and avoid red herrings. Lara Swanson shows us how to do that.
- across your site
- Applied mathematics
- Code Scripting User Science Usability
- Confidence interval
- e-commerce conversion rate
- e-commerce site
- ecommerce conversion rate
- front-end web developer
- Google Analytics
- home-grown solution
- HTML
- HTML
- invaluable tool
- Lara Swanson
- Lara Swanson
- Mark Boulton
- Non-parametric statistics
- Psychometrics
- Software testing
- split testing solution
- Statistical hypothesis testing
- Statistical inference
- Statistical tests
- Statistics
- Technology
- Test automation
- Usability
- web design
- web designers