BCG Interview Question | AA Testing
Question
What might be the benefits of running an A/A test, where you have two buckets who are exposed to the exact same product?
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Running an A/A test at that time can help them with:
Checking the accuracy of an A/B Testing tool
Setting a baseline conversion rate for future A/B tests
Deciding a minimum sample size
Running an AA test helps you calibrate your product. All things being equal and the test data is random, then the only variable is the product itself.
A/A testing is the tactic of using A/B testing to test two identical versions of a product against each other.
Typically, this is done to check that the tool being used to run the experiment is statistically fair.
A/A test is also a method of double-checking the effectiveness and accuracy of the A/B testing software.