For the complete documentation index, see llms.txt. This page is also available as Markdown.

Efficiency

The Efficiency tab measures the support burden an application creates for IT, based on service request tickets. Use it to identify which employee groups generate the most support burden and where application owners should focus to reduce it.

Review service request metrics

The top section of the Efficiency tab shows how often employees encounter issues with the application over time.

From the Efficiency tab of the target application:

  • Review the Service requests / employee KPI to see how often employees raise tickets for the application over the last 30 days, with the month-over-month change.

  • Explore the column chart to see how the metric evolves over the last 13 months. All data on this tab reflects the ticket creation date, not when tickets are revised or resolved.

  • Review the Total service request tickets metric to see the total number of tickets raised for the application. Hover over it to open the action menu and drill down into the specific tickets behind the aggregate.

The system calculates Service requests / employee by dividing the total number of service request tickets attached to the application by the number of employees who accessed it. Service request data comes from a connected ITSM system. Without it, the Efficiency tab is unavailable. Refer to Configuring AHEAD for more information.

The Efficiency dimension of the AHEAD score maps the Service requests / employee ratio to a percentage:

Service requests / employee
Score

0.00

100%

0.02

80%

0.05

50%

0.08

20%

0.10 or more

0%

The system interpolates the score for ratios that fall between the values listed above.

Analyze efficiency across employee groups

Examine the bar chart to identify which employee groups struggle the most with the application.

From the Efficiency tab of the target application:

  • Filter the bar chart by organizational dimensions, such as Department, Group, Team, or Business Unit, to identify which employee groups struggle the most. Note that the available options depend on the user organization fields configured in your Nexthink environment.

  • Review Service requests / employee and Total service request tickets per group using the inline bar indicators for quick visual comparison.

  • Focus improvement efforts on the groups that struggle most.

Investigate efficiency insights

Use the AI-powered Insights to understand the causes behind rising support tickets and which employee groups are most affected. The insights cover:

  • Why the selected efficiency pattern matters.

  • The main drivers and root causes behind the pattern.

The system displays the ✦ sparkles icon to indicate AI-generated content or insights. AI is evolving rapidly and delivering great insights, but it can still make mistakes. Nexthink recommends validating your results to ensure accuracy and support informed decision-making. Refer to the Nexthink Insights - AI Model Card documentation for more information.

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