Apty Insights Admin Overview

The Apty Insights Admin Panel is a web-based tool that maps the Activities predefined by the Admin user in the Apty Lens and the actual actions of end users to analyse the significance of difference between them. It is cloud-based and hosted on Amazon Web Services (AWS) platform.  

One instance of Apty Insights Admin may serve for analyzing health and activity of usage of multiple web applications crucial for operation of your organization (for example, Salesforce, Workday, Jira) or any other web application.  

Apty Insights Dashboard is used for collecting data related to application usage, average activity per session, and error trends. Each connected application is distinguished by the unique name, what Apty plan it belongs to, and time zone it operates in.

Apty Insights can be enabled to track detailed usage data:

  • Track & Analyze how users interact with the applications and how efficiently they can complete the custom business processes

  • Track the usage based on the actual use cases and not just logins.

  • Create blueprints on how users should be completing certain activities and track the actual usage against the recommended processes.

  • Capture the user activity by custom segments, roles and regions.

Filtering Insights Data

The insights data collected per Activities can be filtered according the following criteria:

1.   Segments

Segmentation is a way of providing unique experience to different user groups based on various predefined factors. From the perspective of Apty Insights, the system allows customizing filter options based on the data received from various user groups and spot patterns of their behavior in the hosting application.

Select the user Segments for which the analytical data should be displayed and click the  (Update)  button to apply the changes to the analytical data related to this page.
2.   Specified Date Range

Data can be quickly filtered by choosing one of the time interval options at the bottom of the calendar pop-up:

  • Today,
  • Yesterday,
  • Last 7 Days,
  • Last 30 Days,
  • This Month,
  • Last Month,
  • Custom range.

Select the predefined or custom date range and click the  (Update)  button to apply the changes to the analytical data related to this page.

Insights Dashboard 

The Dashboard page consists of two sections:

1.   Widgets showing quantitative changes:


Each widget provides quantitative measurements for user engagement with the trend of increment, decrement or staying on the same level in comparison with the previous time interval selected in the Date Range filter at the top right corner of the screen:


Number of active users

The cumulative trend of increased or decreased amount of active users over the specified period of time.


Average session time

Shows the statistical average of the time end users were engaged in one of the Activities.


Activity level in a specified country

Shows whether end users in the specified country became less or more actively engaged, followed by the percentage of increase / decrease.

2.   A set of graphs showing the trends for the respective metric. On the top right corner of each graph there is a quantitative measurement showing whether the metrics have incremented, decremented or stayed on the same level in comparison with the previous time interval selected in the Date Range filter at the top right corner of the screen. 


New Users
A line graph showing the changing percentage of new users in the system.  Click on any spot on the graph to see the exact number of new users on a specific day.

Active Users
A line graph showing the changing percentage of active users in the system. Click on any spot on the graph to see the exact number of active users on a specific day.

Avg. Activity(session time)
A line graph showing the changing percentage of average activity time (per session) in the system. Click on any spot on the graph to see the exact mean time for a user session on a specific day.

Activity by Region
Data Visualization indicating the activity by geographical regions.

Error Trend
A line graph showing the changing percentage of average number of errors made while attempting to complete predefined Activities.

Browser Distribution
A visualization showing the proportional distribution of browsers used for working with the hosting application. 


Insights Activities

The statistics from the Activities graph are reported in the Insights Dashboard based on the selected filtering. The display of the Activities graph can be configured according to the following settings: 

1.   By choosing the type of data to be displayed:

  •   Users: tracks the number of end-users that heave started Activities over the specified period of time.
  •   Completion: tracks the number of Activities that have been started and completed over the specified period of time.
  •   Errors: tracks the number of errors made by end-users while attempting to complete Activities over the specified period of time.

2.   Configure the time format of the horizontal X-axis by selecting whether the graph line should show details for Days, Weeks, Months or Years.

3.   Graph Legend. If more than one User Segments have been included in filtering options at the top right corner of the screen, the graph displays several lines, each having a dedicated color specified at the bottom of the graph in the legend area. To hide a line from the graph, click its name on the Legend. If the line name in the Legend area is dimmed out, it is hidden from the graph.

Activities Overview is the list of top used Activities within the system. The list includes:

  • Activity Name identifies the activity in a unique way. When the Activity is created in the Apty Lens tool by the Admin users, it is recommended that Activity should be given a descriptive meaningful name that quickly gives an idea of what it is targeted at.
  • Avg. Time is a mean time spent by end users to complete an Activity.
  • Users is a number of user entries that failed before successful passing.
  • Completion Rate is based on the ratio of times when the Activity has been completed vs. dropped.
  • User Errors defines a number of times end users made errors while attempting to complete a given Activity. 

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