When considering the removal of preexperimental bias from a feature that was rolled out with limited initial data, resalting the feature gate is not specifically recommended for this purpose.
Pre-experimental bias can occur by chance and may not always significantly impact the results of an experiment. If the overall difference in metrics due to this bias is small, it might not meaningfully affect the interpretation of the results.
In such instances, the bias can be acknowledged as a cautionary note, and the affected metrics should be treated with a degree of skepticism. To address concerns about pre-experimental bias, it is advisable to utilize the 'Days Since Exposure' view.
This tool assists in identifying any novelty effects and pre-existing experiment effects. Should bias be detected, users will receive a notification, and a warning will be displayed on the relevant Pulse results. This approach allows for a more informed analysis of the feature's impact without the need to resalt the feature gate.