Voice of customer
Surveys inside experiments
The reason this is one platform rather than two tools: the number tells you what happened, and the answers tell you why.
A survey running while an experiment is live records which variant of which experiment each respondent was in. That single fact is what turns two separate tools into one useful thing.
An experiment tells you that variant B converted better. It cannot tell you why, and the why is what decides what you test next. Reading the same question per variant usually can: if the arm that converted better also scores markedly higher on effort, you have both the result and the mechanism behind it.
It works the other way too, and that is the case worth planning for. A variant that wins on conversion while scoring worse on satisfaction is a warning rather than a win, and it is completely invisible to an experiment reading conversion rate alone.
The attribution is recorded at the moment of answering rather than inferred later, and the reporting counts only respondents who were genuinely enrolled in the experiment you are asking about. Somebody who never entered it does not silently land in a bucket.