User testing reveals patterns with shocking consistency

It's amazing to me how you can find 10 random people on the internet and they can give such astute feedback that then is so representative for such a large number of people.

You can't ever dream up everything in the first place. You don't really know what you want until you see it with these LLMs, so you got to be flexible, have to look at your data.

We're always looking for what is a specific reason that this user might have converted? For things like GoFood it would be things like when does a user try a new merchant if what people are ordering right now or just food that they already trust and know.