What is a key characteristic of the data generated by session replay?

The data generated by session replay is characterized by being text-based and compactly represented. This means that the information captured during user sessions is organized in a way that efficiently uses space while still conveying the necessary details about user interactions. The compact representation allows for the effective storage and quick retrieval of data, which is vital for analysis and understanding user behavior on a website or application.

This characteristic is particularly important because session replays aim to provide insights into how users interact with an interface, including their clicks, mouse movements, and scrolling behaviors. A text-based format facilitates easier parsing and processing of the data, enabling tools to analyze user sessions and derive meaningful insights without the need for excessive resources.

Other choices imply different characteristics that do not align with the core utility of session replay data; for instance, while multimedia content can enhance user experiences, it is generally not the primary focus of session replay, which emphasizes trackable user interactions over visual content. Additionally, the requirement for extensive processing power is not a hallmark of session replay data, as it is designed for accessible analysis rather than demanding intensive computational resources. Lastly, session replay data is generally available in real-time or shortly after sessions occur, rather than solely after sessions have ended, providing immediate insights into user behavior.