Survicate

@shreya_singh14 Thanks Shreya! You can try it for free - let us know what you think 🤞🏻

@alex_dulub Thanks a lot! The feedback so far has been positive, but more importantly, we already received a lot of suggestions for improvements (some implemented before launching publicly) and new features - which means users are not simply kind but do see the value and want to shape its further development. And a few comments were super enthusiastic, which gave us a lot of optimism and confidence.

@hakz thanks, I hope you're right :D

@hakz Yay, thank you Hakim! 🥳

@selly_park Thanks Selly, hope you enjoy playing around with Insights Hub! :)

@richard_cheng_tw Thank you Richard!

@jackeye Hi Olie, thanks for your comment. Separating noise from real, valuable insights was a big focus for us during the design and beta-testing phases. 👉 First, we use large language models (LLMs). We train the system to concentrate on genuinely important information rather than just what's popular in the dataset. 👉 We also help prevent the "garbage in, garbage out" problem. For instance, when importing conversation data from Intercom, we filter it so that only relevant insights make it into Survicate. Another example is how we handle survey data. The Insights Assistant has access to all your survey results, but when categorizing individual feedback, it focuses only on open-text responses. 👉 Lastly, we invested a lot in the UI and UX. Our interface allows you to explore your feedback efficiently, helping you easily focus on what's important and quickly skip irrelevant trends.