Dialogue uses Pairwise Comparison, a deeply-studied method of ranking a large dataset, to drive the mechanics of the voting experience.
After a participant leaves an answer to the open-ended question, they are prompted to vote on answers their peers have left. Participants are shown one pair of responses (A and B) and asked to choose their preference. They can vote as many or as few times as they like, but after every seven votes, they will see a pop-up asking them if they’d like to continue voting or proceed to view the results.
This voting methodology is a quick and effective way to rank a large collection of open-ended answers based on participant preference.
For more information on how Dialogue addresses the downsides of traditional voting methodologies, please read: Does Crowdsourcing Really Surface the Best Insights in an Organization?