Survicate
Effortless survey software for customer-centric businesses
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Paulina Hryniewicz

Insights Hub - Centralize all user feedback, extract meaningful insights

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Insights Hub brings feedback from all sources under one roof and uses AI to sort, analyze, and extract meaningful user insights. Chat with the Insights Assistant, get answers, and run follow-up surveys to learn more—all in one place.

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Hakim Zerhouni
Great product =) The new Insights Hub from Survicate looks like a game-changer for customer feedback management! 🛠️ Bringing all feedback into one place and using AI to extract insights is brilliant.
Kamil Rejent
Maker
@hakz thanks, I hope you're right :D
Paulina Hryniewicz
Maker
@hakz Yay, thank you Hakim! 🥳
Selly Park
Congratulations on launching Insights Hub! Centralizing user feedback and extracting meaningful insights is incredibly valuable for driving data-informed decisions and enhancing user experience. I can't wait to test this and see the impact firsthand!
Paulina Hryniewicz
Maker
@selly_park Thanks Selly, hope you enjoy playing around with Insights Hub! :)
Richard Cheng
Hey Kamil and Survicate Team, Congratulations on the launch of Insights Hub! 🎉 The new features you're introducing are a game-changer, particularly in addressing the challenge of scattered data across multiple sources. By combining robust survey capabilities with comprehensive feedback analytics, you're providing a powerful tool for anyone looking to derive actionable insights from customer feedback. Going beyond traditional surveys to offer a holistic feedback solution is a significant step forward. It’s clear that Survicate is committed to helping users uncover deeper insights and make informed decisions without overcomplicating the process. Looking forward to seeing how Insights Hub will revolutionize customer feedback analytics!
Paulina Hryniewicz
Maker
@richard_cheng_tw Thank you Richard!
Agnieszka
Woah! Nice idea to utilize AI in Survicate!
Olie Fullin
Insights Hub is an innovative tool by Survicate that centralizes and analyzes customer feedback from various sources. How does the tool differentiate between valuable insights and noise in the data? Great Launch!
Paulina Hryniewicz
Maker
@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.
Olivier van den Hoogen
Hey @kamilrejent Very nice! The ability to act on user feedback and run surveys based on it from the same environment is pretty cool. Definitely a great addition to the platform. Does Survicate have any integrations with customer community platforms (to use it as a data source)?
Daniel Korczyński
Maker
@oliviervandenhoogen Not yet, but we definitely plan to integrate with at least couple of them in a near future. Which ones you have in mind?
Olivier van den Hoogen
@korczynskid We would be interested in integrating it with our community platform, Turf. This recently has become a bigger topic for our customers.
Paulina Hryniewicz
Maker
Ok, I gotta ask... What does everyone think of the robot on our landing page and all marketing assets? 🤖
Barbara Derkowska-Podhajska
@paulinahryniewicz Team Robot!
Barbara Derkowska-Podhajska
Trying to make sense out of the ocean of user insights we collect could be annoying. We experienced this ourselves at Survicate. We also heard it from our customers. At the end of the day, feedback isn't coming only from surveys. It's way more than this. Customer chats, HubSpot data, Slack messages, interview transcripts, and more. So you feel overwhelmed by constantly switching between tools. Or by the pain of manual analysis of feedback from yet another new source. That's why I'm so glad we're bringing all these insights from different tools under one roof - Insights Hub. 🎉 It categorizes customer feedback automatically and extracts meaningful insights. So you can chill, while AI does the dirty work, and then use your time to build great products or beautiful websites. It's perfect for Product Managers, UX Researchers, but also supports Product Marketers or Marketing Managers in their market research work. We're already loving it at Survicate. :)
Emily Willis
Great product! Does it integrate with tools like Qualtrics, survey monkey etc to pull through survey results from respondents? The time I've spent trawling manually through research databases - this is an impressive time-saver for researchers!
Benjamin Sloutsky
This is a really powerful tool. I did spot many user feedbacks that integrated AI before though, just curious what makes you unique? Congrats on the launch.
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