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Insights

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Introduction to the Insights Dashboard

Beta Preview Notice

Please note that Insights is currently a beta feature. Many functionalities are not yet implemented and may not work as expected. We strongly advise against using this feature in a production environment at this time.

The Insights dashboard is a specialized oversight and investigation hub. This dashboard leverages advanced AI capabilities to analyze raw data and detect patterns like activity falsification, while also integrating behavior alerts into a unified, real-time "newsfeed". This intuitive interface transforms complex monitoring into a streamlined workflow, serving as a centralized hub for forensic audit and simplified incident management.

Insights Total

On the top-left corner of Insights screen, you will see a donut graph displaying the total number of incidents for a chosen period, broken down by risk severity*.

*The risk severities are pulled directly from the Rule violation severity field of the rules’ General Settings tab.

Insight Feeds

The main feed area shows a scrollable list of insights with accompanying video recordings.

a. The top portion of a feed displays information about the employee, department, date/time, and duration of the incident. It also displays dynamic information about the incident based on the source of the event:

  • For Behavior Alert Sources: Explicitly lists the associated Rule (e.g., “Resignation Intent via AI Tools”), Policy (e.g., “Unproductive Behavior Rules”), and the alert trigger.

  • For Insights Sources: Displays the specific Insight Category (e.g., “Activity Falsification”), Insight Type (e.g., “Key Pressing” or “Inorganic Mouse Movement”) as well as a short description of the insight.

b. You can control video playback (play, pause, rewind, fast-forward, etc.) simply by hovering over the clip. Clicking the Maximize icon launches the Session Player in a separate window.

c. Clicking the Investigate button redirects you to the specific Employee’s Details screen, where you can perform a thorough audit of all their monitoring reports.

Filters

Click the Filters button to bring up the Filter panel on the right. You can apply the following filters to the feeds:

Common:

Employee

This filter allows you to select one or more employees to filter the feeds.

Insight Feed:

Insight Category

This filter allows you to select the insight categories based on the selected Source. For example, if you select “Insights” as the Source of the incident, you will be able to see “Activity Falsification” (see notes below). However, if you choose “Behavior Rule Alerts” as the Source, you will see all associated behavior policies.

Insight Type

This filter allows you to select specific insight types based on the selected Insight Category. For example, if you select “Activity Falsification” as the Insight Category, you will see options such as “Key Pressing” and “Inorganic Mouse Movement”. If the Insight Category is a behavior policy, you will see all the specific behavior rules contained within that policy.

Source

There are two options available under this filter:

  • Insights: This AI-driven option analyzes raw data collected by Teramind Agents to derive anomalies, patterns, and context. An example of this is detecting activity falsification such as using by users with the intent of time theft.

  • Behavior Rule Alerts: These are standard behavior rule alerts.

Activity Falsification

Activity falsification refers to incidents where users attempt to simulate activity to commit time theft. Teramind’s AI-driven analysis can detect these potential frauds. These incidents are categorized under the "Insights" source and further divided into specific types:

  • Key Pressing: This is a specific insight type used to identify instances where the keyboard is being used to falsify activity. It is detected by analyzing raw data to find patterns or anomalies that suggest the input is not genuine manual work.

  • Inorganic Mouse Movement: This insight type identifies artificial or automated mouse movements. The system can distinguish these "inorganic" patterns from natural human interaction to detect potential fraud or time theft.


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