We are running A/B tests on web app customers, given a customerId. Each customer will see different web-feature designs. Trying to prevent usage of Feature Flags as its not currently setup yet in our system.
Initially we tried Even-Odd on CustomerId number, 50-50% ratio to test Feature 1. Example UserId 4 is even, 7 is odd. However, when testing another Feature 2, doing Even-Odd 50-50% would make , Feature 1 Groups to have a matching group with Feature 2, as they both share Same algorithm.
What is another mathematical algorithm method, to run a hash or 50-50% algorithm , so I can differentiate? We will have probably 10 Features to test, so need a way to add a parameter in the FeatureFlag Algorithm, and will track in a Document Table.
Note: Groups should be steady and not random , eg Even-odd will give a consistent result.