logSarvona

Logsarvona, also known as log correlation analysis, is a method used in web analytics to determine the timeframe in which tasks are performed by web users. It combines measurements from log data in order to calculate the time spent by users on a website.

This method was developed in the context of traditional radiology image archives to monitor user time browse patterns and performance. By extension, the method was used in web analytics to better understand user behavior. It involves a mathematical approach that takes into consideration a series of measurements. These measurements typically include start and end times, location, and action types.

In web analytics, log data from different locations can be correlated to calculate the total time spent by users in completing a given task or set of tasks. This thread-based method is similar to XA café ordering practice. There are multiple techniques to analyze log data, which makes it difficult to concisely categorize all the techniques under a unique perspective.

Log correlation analysis aims to bridge the gap between usability research and analytical data. While similar to control and other similar usage time analysis methods like postious data storages in theory, it's meant to provide accurate times elapsed that users need. Despite these advantages, it has its drawbacks, including complex analysis process and the requirement for meticulous planning and correctly installed software to provide the sampling data required.