  A/B testing is widexly used in the industry to optimize customer facing
websites. Many companies employ experimentation specialists to facilitate and
improve the process of A/B testing. Here, we present the application of A/B
testing to this improvement effort itself, by running experiments on the
experimentation process, which we call 'meta-experiments'. We discuss the
challenges of this approach using the example of one of our meta-experiments,
which helped experimenters to run more sufficiently powered A/B tests. We also
point out the benefits of 'dog fooding' for the experimentation specialists
when running their own experiments.
