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Organization Analytics gives enterprise organizations an AI-powered conversational interface for exploring adoption, performance, and outcomes, so you can answer questions about your organization’s data without writing SQL or building reports.

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Overview

The analytics page at Settings > Organization > Analytics is a chat with the analytics agent. Ask questions in natural language, or pick one of the suggested prompts to get started:
  • Who are my top 3 most active users this week?
  • What are the most used agents this week?
  • What are the most used MCP servers this week?
Organization Analytics page showing the analytics agent chat with suggested prompts
The agent queries your organization’s data and returns results as tables, charts, or CSV exports. Generated files open in a side panel next to the chat, and your most recent analytics chats are listed below the composer so you can jump back into them.

Credit Tracking

Monitor credit consumption across users, workflows, and agents over any time period

Usage Insights

Understand which workflows and agents are most active and who is using them

User Activity

See which team members are running workflows, chatting with agents, and consuming credits

Visual Reports

Generate charts and download CSV exports for stakeholder reporting

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Prebuilt Dashboards on the Insights Page

For at-a-glance metrics without asking a question, use the Insights page (Settings > Organization > Insights). It shows total credits spent for the selected period, a credit spend and volume chart, and leaderboards of your top agents, models, and workflows. Its tabs let you dig deeper: Models breaks spend down by AI model, Explorer slices usage along any dimension, and Forecasts projects where your spend is heading.
Insights page Overview tab showing total credits spent, a credit spend and volume chart, and leaderboards for top agents, models, and workflows

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How to Access

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In the Dashboard

Navigate to Settings > Organization > Analytics to chat with the analytics agent.

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In Slack

You can also use the analytics agent directly in Slack:
1

Add the Gumloop bot to your channel

Invite the Gumloop bot to the Slack channel where you want to use analytics.
2

Enable the analytics agent

Type /gummie add analytics in the channel to activate the analytics agent.
Running /gummie add analytics in Slack
3

Ask your questions

Mention @Gumloop in the channel and ask your analytics questions. The agent will respond with results directly in the thread.
Analytics agent responding to a query in Slack

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Chat History

Your conversations with the analytics agent are saved and accessible from the chat history sidebar, which you can open from the chat header. You can revisit previous queries, continue where you left off, or start a new chat at any time.
Organization Analytics chat history sidebar showing previous conversations
Chat history is tied to your analytics permissions. If your VIEW_ANALYTICS access is revoked, you also lose access to past analytics conversations.

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What You Can Ask

The analytics agent has access to the following data about your organization:

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Example Questions

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Data Access and Permissions

Organization Analytics enforces role-based access to ensure data security:
Non-admin and non-manager users are automatically scoped to their own data. They cannot query or view other users’ activity, even if they explicitly ask for it.

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Security

Organization Analytics is built with multiple layers of data protection:
  • Organization isolation: Every query is automatically scoped to your organization. The agent cannot access data from other organizations, even if prompted to do so.
  • Parameterized queries: All queries use parameterized SQL. User input is never interpolated into query strings, preventing SQL injection.
  • Schema validation: The agent can only query pre-defined tables and columns. It cannot run arbitrary SQL or access tables outside the analytics schema.
  • Role-based scoping: Non-admin users are automatically filtered to their own data at the query level, not just at the display level.
  • Prompt injection protection: The agent is designed to refuse attempts to bypass data access restrictions through prompt injection, role-play scenarios, or other techniques.

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Credit Usage

Queries made through the analytics agent consume credits based on the amount of data scanned. The agent is optimized to minimize data scanning by:
  • Using aggregation queries instead of raw row dumps
  • Applying automatic partition filters (defaulting to the last 90 days for time-series tables)
  • Limiting result sets to only the data needed to answer your question
For time-range questions, the agent automatically applies efficient date filters. If you need data beyond the default 90-day window, specify the date range explicitly in your question.

Usage Data Export

Export raw usage data as CSV for external analysis

Audit Logging

Track user actions and system events for compliance

Custom Roles

Configure granular permissions and access controls

AI Model Control

Manage which AI models are available in your organization

Credits

Understand how credits are consumed and where to track spend