Are there any naming convention best practices for experiment features? Context: we are testing subscription price on upgrades. If we plan to A/B test multiple price points (not simultaneously), should we consider creating a feature for each price? E.g.

discounted_subscription_33pct

As opposed to using

discounted_subscription

as the feature name and cross referencing our analytics data with dates we made changes to the price used in the experiment? Would it be good to add the Month/Year to the feature name too so we query our analytics more easily without having to remember/track when we did experiments?