Interpreting Results of Multi-Dimensional Experiments

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Experimentation programs get more sophisticated as an organization’s goals evolve. So it only makes sense that the experiments themselves advance beyond simple A/B tests. In this session Leo Pekelis, Optimizely’s chief statistician, explains how to interpret results from more experiments that use multiple goals, variations and segments.

Watch this on-demand session to:

Discover why and when simple A/B tests fall short
Learn to confidently interpret the results of sophisticated experiments
Understand how to avoid the pitfalls of complex experiments

Leo Pekelis

Chief Statistician

Optimizely

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