A/B testing vs. multivariate testing: When to use each UX testing method

Multivariate testing (MVT) is a UX design experimentation method that evaluates multiple design versions by testing combinations of various interdependent design elements to identify the best-performing setup, unlike A/B testing which typically compares two versions by altering a single element. MVT allows for a deeper understanding of user experience by analyzing how different elements interact and affect design performance, making it suitable for scenarios where several changes are involved. However, it requires higher traffic and can be complex due to the number of combinations involved, often necessitating automation tools like Optimizely and VWO to streamline the process. While A/B testing is faster and simpler, ideal for testing significant changes in a single element, MVT excels in exploring complex design interactions and forming insightful design principles, despite its greater demand for resources and traffic.

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