tier_badge Successful Cleanup
Summary
The experiment is currently rolled out to 100% of targeted users and has been deemed a success (comment). The changes need to become an official part of the product.
@p_cordero has started filling in some of the steps below but would like to work with the engineer that picks this up to ensure this is filled in correctly!
Final Design post-UX polish
Group | Project |
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Steps
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Determine whether the feature should apply to SaaS and/or self-managed - SaaS only -
Determine whether the feature should apply to EE - and which tiers - and/or Core - Free -
Determine whether the feature should apply to all visibilities - private namespaces only -
Determine if tracking should be kept as is, removed, or modified. - kept as is -
Determine if any UX experiences need to be "polished" i.e. updated to further improve the end user experience. This task should be completed by the designated UX counterpart. -
(placeholder for UX polish work that needs to be completed for this cleanup issue to be considered completed)
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Ensure any relevant documentation has been updated - ? -
Determine whether there are other concerns that need to be considered before removing the feature flag. - These are typically captured in the
Experiment Successful Cleanup Concerns
section of the rollout issue.
- These are typically captured in the
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Consider changes to any feature_category:
introduced by the experiment if ownership is changing (PM for Growth and PM for the new category as DRIs) -
Check to see if the experiment introduced new design assets. Add them to the appropriate repos and document them if needed. -
Optional: Migrate experiment to a default enabled feature flag for one milestone and add a changelog. Converting to a feature flag can be skipped at the ICs discretion if risk is deemed low with consideration to both SaaS and (if applicable) self managed -
In the next milestone, remove the feature flag if applicable -
After the flag removal is deployed, clean up the feature/experiment feature flags by running chatops command in #production
channel -
Ensure the corresponding Experiment Rollout issue is updated
Edited by Paige Cordero