Prioritizing hypotheses and launching an A/B test

Hypotheses — brief descriptions of the hypotheses Reach — user reach, on a scale of one to ten Impact — impact on users, on a scale of one to ten Confidence — confidence in the hypothesis, on a scale of one to ten Effort — the resources required to test a hypothesis, on a scale of one to ten. The higher the Effort value, the more resource-intensive the test.

transactionId — order identifier visitorId — identifier of the user who placed the order date — of the order revenue — from the order group — the A/B test group that the user belongs to

date — date group — A/B test group visits — the number of visits on the date specified in the A/B test group specified