We've been using Heap for some time, mainly to understand how users interact with our application and identify the most important features. Our product owner finds it valuable for this purpose. As a QA team, we use Heap's session replay and event capture features to debug issues our customer support team reported. When a support ticket comes in about a bug or issue, we review the session replay and event logs to see how the user encountered the problem and where the error occurred. This has been helpful for us. What I like best about it is the session replay feature. It saves a lot of time. I don't need to go and debug or replicate issues multiple times. We can go to the session replay for a few minutes. We can ask when the issue occurred, go to that time in the replay, and see whether the user made a mistake or if there's an app caching issue. That has been very helpful. I can describe how data visualization tools have impacted our decision-making process from a QA perspective. These tools have helped show us how users are interacting with our product. This allows us to focus on creating more user-centric test cases. We can see which features are used most and focus our testing efforts there. However, for more detailed information about data-centric decision-making, it would be best to contact our product owner. We're primarily using these tools for test case development and to guide our development process. Before using the tool, we faced challenges when clients reported bugs. It was hard to replicate issues because clients didn't share exactly how they used our application. It would take us one or two days to replicate the problem four or five times. This was frustrating for us. After integrating the solution's analytics, we bought their session review feature. This was very helpful for debugging. We could check exactly what the client did, making it much easier to reproduce and fix issues. It significantly improved our ability to respond to bug reports.
