Ops Swarmer Value Dashboard
As an administrator, use the Ops Swarmer Value Dashboard to monitor how Ops Swarmer contributes to incident resolution across your organization. The dashboard provides a consolidated view of incident metrics, MTTR trends, SLA performance, user feedback, usage patterns, unsupported messages, and participant recommendations.
This helps to assess measurable impact, demonstrate ROI, and identify opportunities for continuous improvement in incident management.
The following image shows the Ops Swarmer Value Dashboard with sample data:

Before you begin
To access the dashboards, make sure that BMC Helix Innovation Suite is deployed in your environment.
To view the Ops Swarmer Value Dashboard
- Log in to BMC Helix Dashboards.
- Expand the left navigation pane, and click Dashboards.
- Search for the HelixGPT folder and click it.
- Click Insight Finder Value Dashboard.
- Select a time range for data.
The dashboard displays data up to the last 30 days.
Ops Swarmer Value Dashboard filters
You can look for the specific information on the dashboard by using the following filters:
| Filter | Description |
| Company | Filters the dashboard data based on the selected company. By default, the All option is selected. |
| Priority | Filters incidents based on their assigned priority level for example, Critical or Low. By default, the All option is selected. |
| Major Incidents | Filters the data to show only major incidents or exclude them. |
| Date Range | Filters all metrics and trends based on the selected date range, such as Last 7 days or Last 30 days. |
Panels in the Ops Swarmer Value Dashboard
| Panel | Description | Example |
| Total Ops Swarmer Conversations | Displays total number of conversations initiated with Ops Swarmer. | ![]() |
| Ops Swarmer Conversations by Use Case | Displays distribution of Ops Swarmer conversations across different use cases. | ![]() |
| Resolved Incidents with vs. without Ops Swarmer | Displays comparison of resolved incidents assisted by Ops Swarmer versus resolved without it. | ![]() |
| MTTR | ||
| MTTR with Ops Swarmer (Hrs) | Displays average Mean Time to Resolve for incidents where Ops Swarmer was used. | ![]() |
| MTTR without Ops Swarmer (Hrs) | Displays average Mean Time to Resolve for incidents resolved without Ops Swarmer. | ![]() |
| MTTR Trend (Hrs) | Displays average Mean Time to Resolve for incidents resolved without Ops Swarmer. | ![]() |
| # of Incidents with SLA Breached | ||
| SLA Breached Count with Ops Swarmer | Displays percentage of SLA‑breached incidents assisted by Ops Swarmer. | ![]() |
| SLA Breached Count without Ops Swarmer | Displays percentage of SLA‑breached incidents resolved without Ops Swarmer. | ![]() |
| SLA Breached Trend | Displays daily SLA breach percentage trends for both categories to monitor SLA compliance trends. | ![]() |
| Feedback Statistics | ||
| % of Positive vs. Negative over Total Feedback | Displays percentage of positive and negative feedback received for Ops Swarmer interactions. | ![]() |
| % of Positive vs. Negative over Total Feedback | Displays daily trend of feedback volume and sentiment percentages. This helps identify changes in user experience over time. | ![]() |
| Participant Recommendations | ||
| Participant Recommendations | Displays total number of recommendations generated by Ops Swarmer. | ![]() |
| Participant Recommendations Trend (Days) | Displays daily trend of participant recommendations. | ![]() |
| Unsupported Messages | ||
| Unsupported Messages | Displays total number of messages Ops Swarmer could not process. Helps identify gaps in understanding or unsupported intents. | ![]() |
| Unsupported Messages Trend (Days) | Displays daily trend of unsupported messages. | ![]() |
| Unsupported Messages by User / Date | Displays list of unsupported queries with user, company, incident ID, and timestamp. | ![]() |
| Usage Trends | ||
| # of Unique Users interacted with Ops… | Displays total number of unique users who interacted with Ops Swarmer. | ![]() |
| Ops Swarmer Usage Trend (Days) | Displays daily trend of conversations and unique users to understand user engagement and usage patterns. | ![]() |
Tip: For faster searching, add an asterisk to the end of your partial query. Example: cert*

















