Assistant usage dashboard
This dashboard and table is only available if you set it up prior to June 2, 2026. If you have not yet set up Assistant usage, set up the AI usage dashboard instead.
The Assistant usage dashboard displays usage data about Sigma Assistant, including questions asked, users using Assistant, sources accessed by Assistant, and performance metrics like response time, tokens consumed, and number of LLM calls.
For example, if you want to evaluate changes that you make to the AI context for data models configured for Sigma Assistant or the configured AI provider, use the Assistant usage dashboard to review the resulting effects on usage and token consumption.
The dashboard contains the following tabs:
| Tab name | Description |
|---|---|
| Questions | Details about questions asked of Sigma Assistant. |
| Users | Details about users of Sigma Assistant. |
| Sources | Details about sources used to answer questions asked of Sigma Assistant. |
| Performance | Details about total response time for Sigma Assistant, for the LLM associated with the AI provider, and tokens consumed. |
User and system requirements
- You must be assigned the Admin account type.
- The dashboard must be configured. See Configure AI usage dashboards
Assistant usage table in connection browser
If you are granted access to the relevant schema, you can also explore the Assistant usage data in the relevant table in the connection browser.
Assistant usage is stored in a table called ASK_<ORGANIZATION_NAME> in the configured location.
| Column name | Description |
|---|---|
| Timestamp | Time when the question was asked. |
| User Question | Natural language question asked. |
| User Id | Unique user identifier for the user in Sigma. |
| Data Classification | LLM classification of the data needed to answer the question. |
| Selected Source | Source used to answer the question. |
| Question Id | Unique ID for the question. |
| User Name | Name of the user who asked the question. |
| Agent | What agent was used to answer the question: source selection, docs, or analysis. |
| Improvement | N/A |
| Warehouse Runtime Ms | How long the query ran to return the data for the question, in milliseconds. |
| Llm Runtime Ms | How long the LLM ran to process the question and response, in milliseconds. |
| Teams | Sigma teams that the user who asked the question is a member of. |
| Model | LLM model used. Should match the supported model for the configured AI provider. |
| Error | If present, the error message. |
| Result | Description of the result or result type. For example, chart. |
| Tokens | Total tokens consumed for the input (question) and output (response). |
| Call Count | Number of LLM calls required to answer the question. |
Updated about 1 hour ago