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From the beginning, we asked users to fill out a ratings screen after they completed a class. This rating gathered a star rating out of five, any comments the user had regarding the class and they would randomly be served a follow up question, either about the instructor, class size, studio, or overall feeling about the class. We decided to surface these ratings to users in 2016.

We started our design sprint to decide out of all the information we gather from users, what is actually relevant to their decision making process. We found that while a star rating was valuable as a preview in the class list, users didn't actually put too much weight behind the rating. Instead users were much more interested in the physical comments people left, tipping them off about great instructors, reminders to bring equipment, or warnings of lackluster classes.

We spent a decent amount of time deciding what the most visually intriguing way was to display how users rank a class's attributes. We heard that users didn't need to see social proof of how many people said one thing or another (they already knew that our ratings were mandatory), so we decided to just tag each class with it's highest ranked attributes. We also separated out reviews from the class you were looking at vs. all reviews for that studio.