When we analyzed Variant A vs. B in T238888, we looked at three metrics: interaction rate, navigation rate, and task click rate. At the time, we did not have the sample size to look at the rate of completing a suggested edit, which is the outcome we ultimately want to affect.
The results from the analysis we did materially informed our designs for T246533: Variant tests: "initiation part 2" test (C vs. D), and we intended to quickly build and deploy that experiment. But that experiment has become delayed, and in the meantime, we want to give newcomers A or B, whichever is better.
Therefore, we want to quickly look into whether Variant A or B has a higher rate of newcomers completing a suggested edit. Now that it is many weeks after the initial experiment, we may have the sample size to do this.