Daily Session Time

daily session time is an insight offered by qualetics as a part of its activity analytics suite the thumbnail view summarizes daily average session time and daily average action time logged by users of your web, mobile, server, or software app to provide insights into user engagement this visualization shows both average and total session time of users for your web, mobile, server, or software app by date it includes a key that displays information on 4 metrics users with active sessions, avg session time, total session time, and avg action time higher scores reflect better engagement additional filters are available, including context, action, actor, and date range you can filter for a specific period using a dropdown menu with a variety of options this visualization shows average and total session times for web, mobile, server or software app users by date additionally, it displays four metrics users with active sessions, avg session time, total session time and avg action time higher scores are better for all metrics additional filters include app features, user actions, user identity, and date range for analysis use the dropdown filter to focus on specific periods this is a visualized view there are additional filters available here such as context (app features), action (what was the user doing when a bug/defect was encountered), actor (who is/was the user), and a date range during which the analysis was performed not only this, you may go ahead do a lot with this visualization you have the option to embed this visualization into a webpage or a blog post or share it with any of your users you may also subscribe to a condition where you get alerts when a certain condition is met or not met in addition, you may download this view as a pdf document or an excel sheet or simply save this as a favorite view based on a specific search input, or date per se also, using the api link, you may integrate this chart into your app based on the permissions available this is an analyzed or a tabular view there are additional filters available here such as context (app features), action (what was the user doing when a bug/defect was encountered), actor (who is/was the user), and a date rane during which the analysis was performed not only this, you may go ahead do a lot with this visualization you have the option to embed this visualization into a webpage or a blog post or share it with any of your users you may also subscribe to a condition where you get alerts when a certain condition is met or not met in addition, you may download this view as a pdf document or an excel sheet or simply save this as a favorite view based on a specific search input, or date per se also, using the api link, you may integrate this chart into your app based on the permissions available