Now, you can specify which audience you want to calculate experimental power for, by selecting any existing Feature Gate via the Power Calculator.
To do this, go to the Power Calculator (either under “Advanced Settings” in Experiment creation or via the “Tools & Resources” menu) and select “Population”.
This will kick off an async power calculation based on the selected targeting gate’s historical metric value(s), and you will be notified via email and Slack once your power analysis is complete.
We’ve heard from some folks that they want to explore metrics even outside an experiment’s context. We’ve just started adding capabilities to do this. Now, when you’re looking at a metric in the Metrics Catalog you can:
compare values to a prior period to look for anomalies
apply smoothing to understand trends
look at other metrics at the same time to see correlation (or lack thereof) group by metric dimensions
save this exploration as a Dashboard to revisit/share with others
view current experiments and feature rollouts that impact this metric (also in Insights)
This starts rolling out March 31.