Heap Reviews

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.

Based on my experience, there's some room for improvement. The application is a bit slow. Also, I must read through old documentation when I need to check for new features. It's not very user-friendly. Once you're in the application, it's easy because it has many features. But for first-time users, you have to go through all the documents, which can be challenging.

I use it within our AB test to monitor testing activities and perform roadmaps and ad-hoc requests.

It is supporting the development of a self-service model. For example, I worked with many business owners, including marketers and product marketers, who weren't as skilled in creating reports and analyses. With Heap's detailed but manageable training videos, they can complete the training in about two hours.

I would then meet with stakeholders to offer tips and demonstrate the visualizer. This approach enabled me to implement a self-service model effectively, allowing them to handle basic reporting independently.

We use Heap to create user metrics, and track page visits, feature usage, and user workflows after engaging with features.

The product's most valuable feature was the ready-made availability of defining events, creating visuals, and storing the data in the database.

I used the solution for implementation, debugging, and Q&A.

When I started, I was very new to that. So, I went through the first requirement to understand how it would be helpful for the implementations and the data analytics we needed to capture. It was related to financial matters, specifically a BFSI project I was working on. We wanted to understand how the form journey in Heap started and how the cross-platform journey functioned. This presented some challenges, but we addressed them step by step. We also took some help from the Heap teams and reviewed the documents their support team provided. Through this, we analyzed the cross-channels and user behavior on the website and how the platform operated across different devices.

This product is certain to deliver valuable data regardless of how deeply you integrate it. Also, if you have investors or managers constantly requesting user metric data, this is an easy way to simplify the gathering and distribution of such information.

Discerning application and UX weak points, driving better user retention. Another immensely useful feature is the retention graphs with the ability to generate retention data for individual features. This reporting has helped improve investor relations and let us quantify our growth and progress with ease.