I have been familiar with Glassbox for around one to two years through enterprise digital experience and analytics-related discussions in the project, and my exposure has mainly been from a product and customer service perspective, especially around how organizations use session replay and user behavior insights to improve the digital journey. My main use case for Glassbox has been around understanding user behavior and improving the digital experience. In enterprise applications, it is often difficult to know where users are facing issues just from the analytics dashboards alone. One example is using the session replay and customer journey insights to identify where users were dropping off or struggling during specific flows. Instead of relying only on assumptions or support tickets, teams could actually see how users interacted with the application, which helped improve usability and troubleshoot issues faster.
My main use case for Glassbox is to utilize it for the product layouts and the checkout funnels. In our main use case, we have to use two homepages, such as get your money and we have some apply now. So we have two interaction maps that while variant A gets more over time, variant B drives 1.3 more actual clicks. The team will choose variant B with confidence.
Our main purpose for using Glassbox is to capture user sessions and user activity on the live site. Based on that captured data, we create funnels and reports to check the customer impact for specific services or categories that are failing and identify which countries are impacted. For example, if a person is trying to purchase a product and add a laptop into the cart but encounters intermittent errors during this process, and then receives errors when clicking the checkout button stating they are unable to checkout, Glassbox captures this real customer experience. When this happens, specific error messages are displayed on the screen, and Glassbox highlights it as an alert with a 5XX response status code. From a day-to-day perspective, we have created specific dashboards and reports that provide alerts if any unknown activity occurs on the live site. When a customer faces a real issue, we receive alerts and notifications that help us understand what is happening.
Glassbox is a digital experience analytics platform that helps organizations optimize customer service by providing insights into digital interactions. It empowers teams to enhance user journeys and increase customer satisfaction.Glassbox offers comprehensive monitoring of web and mobile applications to improve digital journeys. It captures, records, and analyzes vast amounts of data in real-time. This provides deep insights into user behavior, allowing businesses to identify friction points...
I have been familiar with Glassbox for around one to two years through enterprise digital experience and analytics-related discussions in the project, and my exposure has mainly been from a product and customer service perspective, especially around how organizations use session replay and user behavior insights to improve the digital journey. My main use case for Glassbox has been around understanding user behavior and improving the digital experience. In enterprise applications, it is often difficult to know where users are facing issues just from the analytics dashboards alone. One example is using the session replay and customer journey insights to identify where users were dropping off or struggling during specific flows. Instead of relying only on assumptions or support tickets, teams could actually see how users interacted with the application, which helped improve usability and troubleshoot issues faster.
My main use case for Glassbox is to utilize it for the product layouts and the checkout funnels. In our main use case, we have to use two homepages, such as get your money and we have some apply now. So we have two interaction maps that while variant A gets more over time, variant B drives 1.3 more actual clicks. The team will choose variant B with confidence.
Our main purpose for using Glassbox is to capture user sessions and user activity on the live site. Based on that captured data, we create funnels and reports to check the customer impact for specific services or categories that are failing and identify which countries are impacted. For example, if a person is trying to purchase a product and add a laptop into the cart but encounters intermittent errors during this process, and then receives errors when clicking the checkout button stating they are unable to checkout, Glassbox captures this real customer experience. When this happens, specific error messages are displayed on the screen, and Glassbox highlights it as an alert with a 5XX response status code. From a day-to-day perspective, we have created specific dashboards and reports that provide alerts if any unknown activity occurs on the live site. When a customer faces a real issue, we receive alerts and notifications that help us understand what is happening.