
What I like best about UserGuiding is how it goes far beyond onboarding flows. Over time, I’ve started exploring more of the platform's functionalities, especially the Resource Center and Knowledge Base, which have become essential in delivering contextual help to users without interrupting their journey. I’ve also started experimenting with Surveys to gather feedback directly within the product, which is helping us better understand how users interact with specific features.
Another great aspect is the flexibility it offers for more advanced use cases. By calling UserGuiding components directly through HTML, we've been able to customize the experience with the help of our development team, integrating guidance and resources more deeply into our platform’s interface.
We've encountered a few occasional issues along the way, but they were all resolved using a combination of internal development support, the platform's help center, and UserGuiding’s own support.
On the technical side, implementation has remained simple and smooth, and the troubleshooting tool continues to be useful for identifying potential issues early. The support team is consistently excellent — responsive, thoughtful, and really committed to helping. The AI-powered chatbot does a great job of understanding the product and pointing you in the right direction, but what really stands out is the human support. When we hit a more complex issue, the team took ownership and got it solved quickly and effectively.
Overall, UserGuiding has grown into a strategic tool for us, bridging UX, support, and product — and helping us deliver a better, more intuitive experience to our users. Review collected by and hosted on G2.com.
How MAU works, and how it stops everything when it reaches the maximum that was contracted. This blocking behavior is somewhat abusive and breaks what was agreed upon. The proper approach should be to deliver the materials up to the contracted MAU limit, ensuring that the service remains consistent with the terms established. That said, we were able to solve our MAU issue after correctly implementing user tracking and waiting a few weeks for the MAU count to reset and "clean" itself based on the proper usage.
Additionally, while the AI support chat is helpful and often provides useful guidance, it does occasionally get things wrong or fails to solve more specific issues. It might benefit from more targeted training or refinement. It’s definitely useful, but still not quite at 100%. Review collected by and hosted on G2.com.






