Teramind offers two core features to manage workforce efficiency: the Productivity Dashboard for strategic analysis and Behavior Policies to automatically detect and address user behavior that impacts productivity and engagement.
Conduct Analysis with the Productivity Dashboard
The built-in Productivity Dashboard is your central hub for measuring and reporting key performance indicators (KPIs) across all employees and departments. Its widgets highlight user and team performance, helping you identify areas for optimization.
The dashboard can be tailored to show specific metrics, such as:
Top/Least Productive Users based on activity levels.
Departmental Productivity trends.
Performance for Tasks and Projects.
Monthly Trends and identifying the least productive apps or websites on a daily basis.
And more...
You maintain control over your data classification by sorting applications and websites into Productive, Unproductive, or custom categories (managed via Configurations > Productivity Profiles).
You can clone the dashboard and customize it by adding your own widgets and data points, focusing on the insights most important to you. Use advanced filters to query specific datasets - for example, isolating certain departments or eliminating unrelated tasks to cut out the noise. For a deeper dive, the Grid widgets at the bottom let you view granular details.
You can integrate the solution with Project Management systems like Jira and Zendesk to manage projects and track task progress against productivity metrics. For external analysis, integrate with Power BI, Tableau, or other analytics tools, or simply export the data to Excel.
Detect and Enforce Productive Behavior Automatically
Beyond reporting, you can use behavior policies and rules to automatically flag and respond to activity that affects productivity. This eliminates the need for constant manual monitoring.
Here are two examples that demonstrates how you can use rules to detect work patterns and enforce desired behavior:
Flagging Active Time on Approved Apps: You can create an Activity rule to flag when employees are active for a minimum duration on approved applications throughout the day. For example, a rule might look for six hours of active time in approved apps. This confirms the employee spent high-quality, focused interaction with the applications necessary to perform their job, indicating they were highly productive.
Detecting Excessive Idle Time: A Schedule rule can be set to detect and flag idle time that crosses a predetermined threshold (e.g., one hour). The purpose of this rule is to quickly identify and act on unplanned, excessive downtime that falls outside normal and acceptable work patterns.