A/B Testing
A method comparing two versions of a design to see which one performs better with users.
What is it?
A/B testing, also known as split testing, involves presenting users with two variants (A and B) of a design element to determine which one achieves a higher performance based on predefined metrics.
When to use it?
Use A/B testing when you have multiple design options and need data-driven insights to choose the most effective one, especially for optimizing conversion rates or user engagement.
Why use it?
It provides empirical evidence on user preferences, reducing guesswork and enabling informed decisions to enhance user experience and achieve business goals.
How to use it?
Identify a variable to test (e.g., button color), create two versions, randomly assign users to each version, and measure performance against key metrics to determine the superior design.
How not to use it?
Avoid testing multiple variables simultaneously, as it complicates identifying which change influenced results. Ensure a sufficient sample size for statistical significance.
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