User Logs

the user logs docid\ w77fotsoi3fpy lzwmcj2 provides a detailed view of user activity and status changes over a selected timeframe this report enables administrators and managers to track team availability, activity duration, and status transitions purpose the user logs docid\ w77fotsoi3fpy lzwmcj2 helps businesses monitor agent activities and their availability to ensure efficient team management and resource allocation getting here this module is accessible to admins , managers , and users with reporting privileges restricted users cannot access this report navigate to the docid\ w77fotsoi3fpy lzwmcj2 module from the left hand menu under the docid\ gbjns2wkgebszf5evi07n section, select user logs key features timeframe selection analyze logs for predefined or custom timeframes today yesterday this week last week this month last month custom (specific date range) user filter filter the logs by specific users to focus on individual activity or view data for all users collectively columns user name the name of the agent or team member status the user’s current or historical availability status, such as online active and available away temporarily unavailable offline not logged into the system time start the start time of the activity or status time end the end time of the activity or status duration the total time the user spent in a specific status pagination view detailed logs in pages, with options to adjust the number of entries displayed per page exporting the data the data from the conversations matrix can be exported in multiple formats csv excel to export right click on the report select the export option (hint it's the last one) select your preferred file format the download begins automatically practical use cases team availability monitoring identify periods when team members were online, away, or offline to optimize availability for customer support productivity tracking analyze time spent in various statuses (e g , away or offline) to address productivity bottlenecks scheduling and resource management use duration insights to identify patterns in team behavior and improve scheduling efficiency historical log analysis review user logs to investigate specific incidents or patterns during critical operational periods best practices regular monitoring check logs weekly to ensure optimal team performance and address any deviations proactively filter by user use the user filter to focus on specific agents for detailed performance assessments identify patterns analyze trends in availability and duration to adjust staffing during peak periods export data for review use the export feature to share insights with stakeholders or analyze data offline for comprehensive reviews faqs how is the data in the user logs docid\ w77fotsoi3fpy lzwmcj2 updated? the data shown in the user logs report is updated in real time as users change their availability status (online, away, offline) however, durations are only finalized once a status ends why am i seeing long durations for away or offline statuses? long durations typically indicate that a user did not return to online status for an extended period this could suggest break times, shifts ending without logout, or connectivity issues can i identify exactly when a user started and ended their shift using this report? while there’s no official shift marker, you can use the first "online" status of the day and the last "offline" status as approximate indicators of shift start and end times why do some users show only 'offline' status for the whole day? this means the user did not log into the system at all during the selected timeframe if this is unexpected, you may want to follow up with the team member or cross check with other performance reports can i analyze trends across multiple days? yes use the custom date range in the timeframe selector to pull logs across any span of time, such as a full week or month, to analyze consistency and availability trends does this report track breaks or inactivity during the day? yes extended periods in "away" or frequent transitions between statuses can indicate unofficial breaks or periods of inactivity, which can be helpful for assessing productivity is there a way to monitor the frequency of status changes? while the report doesn’t show a count of how many times a user changed status, you can visually observe the sequence of entries and export the data to perform frequency analysis offline how can i use this report to validate attendance? use the presence of online status combined with duration to validate whether an agent was active and logged in during expected working hours can i see logs for users who are no longer active or sy? only currently active users are shown in the dropdown filter if a user has been deleted from the system, their historical logs may no longer be visible unless retained through exports what’s the best way to assess if a user’s availability aligns with business hours? compare the start and end times of their statuses to your standard operating hours consistent alignment indicates punctuality, while frequent late logins or early logouts may need review