Re-implement Trebuchet percent strategy for better experiment analysis #6
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
The original Trebuchet percent strategy was not good for independent feature analysis because it tended to cluster percent launches for features to the same subsets of users.
This new strategy is better because it computes a hash of the feature name along with the identifying user or visitor id and therefore distributes features randomly across their domains. This makes it more likely that the results of analysis for individual features are not biased by other features that were enabled with the percent strategy at the same time.
Note that I exliminated the :to / :from options from the percent strategy since they are no longer as useful with the new implementation and seemed like interface bloat.
Testing:
Re-ran specs and implemented new specs for the new percent strategy