(also updates to Experiment Timeline view)
The "batting average" view lets you look at how easy or hard a metric is to move. You can filter to a set of shipped experiments and see how many experiments moved a metric by 1% vs 10%. Like with other meta-analysis views, you can filter down to a team, a tag or even if results were statistically significant.
Common ways to use this include
Sniff testing whether the claim that the next experiment will move this metric by 15% is a good idea.
Establishing reasonable goals, based on past ability to move this metric
This view now features summary stats (e.g. How many experiments shipped control) so you don't have to sit and manually tally stats here.