One of the features I rely on the most is in-product surveys: asking for feedback while someone is actually using a feature gives me much better answers than sending an email a few days later. People still remember what they were trying to do, what confused them, and why they made a certain decision. The quality of the feedback is on a completely different level. I've also been using Research Hub a lot more than I expected. Instead of going through hundreds of survey responses one by one, I bring together survey results, support conversations, and other customer feedback in the same place. The AI does a great job of grouping similar themes, highlighting recurring issues, and surfacing patterns that would take me much longer to find manually. I also had a good experience with support. We needed help configuring a survey exactly the way we wanted, and instead of giving us a generic answer, they understood what we were trying to achieve and helped us get there without having to come up with workarounds. Review collected by and hosted on G2.com.

The only challenge I've really run into is keeping everything organized as the number of surveys grows. Once you start working with multiple projects, segments, and different audiences, the dashboard can feel a little busy until you settle on a consistent naming structure. I'd love to see that part of the interface become a bit easier to manage over time. Review collected by and hosted on G2.com.