Issue Auto Resolution for HR dashboard
Summarize
Summary of Issue Auto Resolution for HR Dashboard
The Issue Auto Resolution for HR dashboard provides a graphical representation of the performance of the Issue Auto Resolution application, focusing on case resolution for noncritical inquiries. It enables users to monitor key performance metrics, including success rates for auto-resolved cases, estimated costs, and time savings.
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Key Features
- Real-Time Performance Monitoring: View near real-time data on case resolution performance.
- Comprehensive Reports: Access various reports and indicators to track performance, such as total inquiries, auto-resolved cases, estimated savings, and mean resolution time.
- Detailed Data Insights: Select data points to view detailed lists related to each report.
- Dashboard Filters: Utilize filters to customize results based on a selected date range.
Key Outcomes
By using the Issue Auto Resolution for HR dashboard, customers can effectively monitor and analyze the impact of the application on case resolution, leading to improved efficiency and cost management. The dashboard empowers organizations to understand how automation in case resolution can streamline operations and enhance service delivery.
With the Issue Auto Resolution for HR dashboard, you can see a graphical representation of the Issue Auto Resolution application's case resolution performance. You can also monitor the success metrics for auto-resolved cases, estimated costs, and time saved by using the application.
Dashboard overview
The dashboard shows you a near real-time window into the application's case resolution performance of identifying and auto-resolving noncritical cases.
The following example shows the viewing perspective of the dashboard.
Reports and indicators
The following table shows the reports and indicators that you use to track and monitor the application's performance.
| Graph title | Type | Description |
|---|---|---|
| All cases | Donut | Total number of general inquiries that the employees raised. Note: The data points for this report are predicted by the underlying Machine Learning (ML) solution and differ from the Non critical cases
report. |
| Auto resolved (noncritical cases) | Single Score | Issue Auto Resolution application responded to cases with self-service content as recommendations. |
| Estimated time savings | Single Score | Total hours you saved by using the Issue Auto Resolution application. |
| Estimated cost savings | Single Score | Estimated costs for resolving the open cases (open cases multiplied by the average level/tier 1 cost per case). |
| Simulate cost savings | Single Score | Estimates your cost savings. |
| Estimated cost of open cases | Single Score | Estimated monetary value your organization must spend to resolve open cases. |
| Mean time to resolve | Single Score | Average time to resolve cases that were predicted as non-critical cases. Note: Case resolution time depends on the employee's feedback and service level agreements (SLAs). |
| Current auto resolution rate | Single Score | Number of cases that were auto-resolved from the total number of cases that were predicted as non critical. |
| Auto-resolution attempted | Single Score | Total number of cases for which deflection is attempted cases that passed through the AI prediction. |
| Resolved by IAR | Horizontal Bar | Number of cases auto-resolved through the Issue Auto Resolution application for each HR center of excellence (COE). |
| Request channels | Donut | Percentage of general inquiries that were received through request channels. |
| Employee feedback for non critical cases | Vertical Bar | Employee feedback pattern for all non-critical cases for the Issue Auto Resolution application. |
Detailed report view
Each dashboard report is related to a data source (table or indicator). Select each data point in a report to see the detailed list of data.
The following example shows how selecting any data point on the dashboard gives you the complete list report.
Dashboard filters
Use the dashboard filter to get the results that are based on a selected date range.
The following example shows what the date filter option looks like in the dashboard.