Skip to main content
Insights is the reporting home for your organization. It combines prebuilt dashboards for adoption and credit spend with an analytics agent you can ask about that same usage data in plain language — both on the same page at Settings > Organization > Insights.
Insights Overview tab showing a credit usage digest, credit spend and volume chart, and top agents, models, and workflows

The Overview tab: a plain-language digest, credit spend and volume, and leaderboards for agents, models, and workflows

​
At a glance

Dashboards

Nine tabs covering credits, agents, teams, models, skills, tasks, artifacts, connectors, and a free-form explorer

Analytics agent

Ask questions in natural language and get tables, charts, and CSV exports — in the app or in Slack

Impact Reports

Schedule a weekly or monthly digest to email and Slack

Drill-downs

Click any agent, team, model, task, or connector to see the detail behind the number
Who can see it: Insights is an Enterprise feature, open to members with the Admin, Manager, or Analytics organization role. See the FAQ for what each role can see and how to grant access.

​
Where to start

1

Set your date range

Everything on the page — every KPI, chart, and table — follows the range in the toolbar. It defaults to the last 30 days.
2

Skim the Overview

Read the digest at the top for the headline number, then check the spend trend and the leaderboards for what drove it.
3

Drill into the tab that explains it

Agents, Teams, and Models explain cost; Skills, Tasks, Artifacts, and Connectors explain adoption. Select any row to see the detail behind it.
4

Ask the agent anything the tabs don't answer

Open the Agent rail for ad-hoc questions and exports, or use Explorer to slice usage yourself.
5

Put it on a schedule

Set up an Impact Report so the summary arrives in email or Slack instead of you checking the page.

​
Page anatomy

Every tab shares the same controls at the top of the page:
Insights header showing the tab bar, the credit digest, the Last 30 days date range, the Impact Report button, and the Agent button

The toolbar: tabs on the left, date range, Impact Report, and the Agent button on the right

The tab, date range, and any selected agent or team live in the URL, so you can bookmark or share the exact view you are looking at.

​
The tabs

​
Overview

The starting point: how much you spent, where it went, and who drove it.
  • A plain-language digest of credits spent in the period, with the models that consumed most of it
  • Credit spend and volume over time, with an optional compare to previous period toggle
  • Leaderboards for top agents, top models, and top workflows
  • A per-member table of agent tasks, workflow runs, and credits
Organization Usage table listing members with agent tasks, credits per task, workflow runs, credits per workflow, and total credits

Organization Usage on the Overview tab: activity and credits per member

​
Agents

Every agent in the organization with its usage and cost side by side — team, owner, model, tasks, credits, credits per task, how many members use it, and when it was last active. Search and filter to narrow the list.
Insights Agents tab listing agents with team, owner, model, tasks, credits, credits per task, and last active

The Agents tab ranks every agent by usage and credit cost

Select an agent to open its detail view: headline metrics, a usage and credit trend, and breakdowns of its tasks, triggers, models, and members.
Insights agent detail view showing credits, tasks, credits per task, members, and a usage trend chart

Agent detail: trend, tasks, triggers, models, and members for a single agent

​
Teams

The same view one level up. Compare teams by members, agents, tasks, credits, and credits per task to see which parts of the org are getting value.
Insights Teams tab listing teams with members, agents, tasks, credits per task, and credits

The Teams tab compares teams by members, agents, tasks, and credit spend

Select a team to drill into its agents, tasks, triggers, models, and members.
Insights team detail view showing team credits, tasks, agents, members, and a usage trend

Team detail: the agents, tasks, and members behind a team's usage

​
Models

Where model spend actually goes: your top provider and model, the model mix over time, spend by model and by provider, a full model breakdown table, and a cost calculator for estimating the effect of switching models.
Insights Models tab showing top provider and model, model mix over time, spend by model, and spend by provider

The Models tab breaks credit spend down by model and provider

Pair this with AI Model Control when you want to steer the org toward cheaper models.

​
Skills

Skill adoption across the org: skills used (and total uses), used by 2+ members, active members, and never used — plus adoption over time, your top builders, and a searchable per-skill table with team, owner, how many members use it, activity, and last used.
Insights Skills tab showing skills used, used by 2+ members, active members, never used, an adoption over time chart, top builders, and a skills table

The Skills tab: adoption over time, top builders, and per-skill usage

​
Tasks

What agents actually worked on. KPI cards for tasks, members, triggered tasks, and failure rate, a where work happens trend by channel, and a source ranking. Four views:
Insights Tasks tab showing tasks, members, triggered share, failure rate, a where work happens chart, a source ranking, and a triggers table

The Tasks tab: where work reached agents, by source and channel

The Source ranking shows how work arrives — schedules, workflow nodes, incoming Slack messages, incoming email, subagents, and the API — with failure rate per source.

​
Artifacts

Artifacts agents produced: artifact count, creators, agents, and file types, with an artifacts-over-time trend and a file-type ranking (web pages, PNG, plain text, JSON, CSV, and more). Switch between artifacts, members, and agents views.
Insights Artifacts tab showing artifacts, members, agents, file types, an artifacts over time chart, a file type ranking, and an artifacts table

The Artifacts tab: files created over time, by type, agent, and member

​
Connectors

Which connectors are actually in use — members connected, active members, an activity trend, and last used per connector. Select a connector to see the members who connected it and the agents using it.
Insights Connectors tab listing Slack, Gong, Google BigQuery, GitHub, Gmail and others with members, active members, activity, and last used

The Connectors tab: adoption and activity per integration

​
Explorer

Free-form slicing when no tab answers your question. Choose what to group by, then expand a row to drill one level deeper. Each row shows its share of credit spend.
Insights Explorer tab grouped by agents, showing credit share per agent with expandable rows

Explorer: group by any dimension, then expand a row to drill in

​
Ask the analytics agent

Click Agent to open the analytics agent next to your dashboard. Ask a question in natural language, or start from a suggested prompt:
Impact Report and Agent buttons in the Insights toolbar, with a cursor clicking Agent

The Agent button in the toolbar opens the analytics agent

  • Who are my top 3 most active members this week?
  • What are the most used agents this week?
  • What are the most used MCP servers this week?
The agent queries your organization’s data and answers with tables, charts, or CSV exports. Generated files open in a new tab.
Analytics agent answering who are my top 3 most active members this week with a table of workflow runs and agent chats per member

The agent answers in the rail, showing the steps it ran and the result as a table

In the rail you can:
  • Expand the rail for a wider chat, or collapse it to get the full dashboard back
  • Start a new chat, or reopen a previous one from the chat history popover
  • Turn on incognito for a chat that is not saved to history (Enterprise plans; an admin can disable it for the organization)
  • On mobile, the agent opens as a full-screen chat instead of a rail
Chat history follows your access to Insights. If the analytics role is removed from a member, they also lose access to their past analytics conversations.

​
In Slack

The same agent is available in Slack, so you can ask questions where your team already works.
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 and ask your question. The agent replies in the thread.
Analytics agent responding to a query in Slack

​
What you can ask about

​
Example questions

​
Impact Reports

Rather than checking the dashboard, have it delivered. Click Impact Report in the Insights toolbar to schedule a recurring summary of your organization’s agent activity. Only Slack channels the Gumloop bot has joined can be selected. Use Disable report in the same panel to stop delivery. Reports cover the most recently completed period (weeks and months close in UTC) and go out after it closes — emails arrive at 10:00 in each recipient’s local time where that is known. Each report’s numbers are snapshotted when it is generated, so a retry delivers the same figures.
Impact Report panel with weekly frequency, email recipients, and Slack channels or members, plus a Disable report button

Impact Report settings: cadence plus email and Slack delivery

Anyone who can open Insights can view the report settings; Admins, Managers, and the Analytics role can enable, edit, and test-send it. The written summary in each report is generated by an AI model and is billed to your organization as AI utility credits.

​
Per-agent Insights

Every agent has its own Insights view at Agent > Insights, for owners who only care about their own agent. It uses the same date range picker and shows:
  • Headline KPIs and a credit spend and volume chart, with the previous period for comparison
  • Breakdowns by task source, skill, artifact type, Slack channel, member, and model
  • Its own Impact Report schedule, independent of the organization-wide one

​
FAQ

Access comes from the organization role a member holds, assigned under Settings > Organization > Members. Admin, Manager, and the Analytics role can open Insights. Member, Security, and Developer cannot — the page is not in their navigation.Roles are additive, so if someone needs reporting and nothing else, add Analytics to their existing Member role rather than promoting them to Manager.
Yes. Insights and Impact Reports are Enterprise features — on other plans the analytics roles cannot grant access to them.
Everyone who can open Insights sees the same organization-wide dashboards — the tabs are not filtered per person.The analytics agent is different: it answers across the whole organization only for Admins. For a Manager or the Analytics role, the agent answers about that person’s own activity, because the scope is applied when the query is built rather than filtered afterwards. Use the dashboards and Explorer for organization-wide numbers.
Admin, Manager, and the Analytics role can enable, edit, and test-send the organization’s Impact Report. Anyone who can open Insights can see the current settings.
Completed days come from a rollup that refreshes hourly, and today’s activity is read live, so the current day is always current. Recent closed days are recomputed for a few days afterwards to pick up late-arriving records, so a yesterday figure can still move slightly.Days are counted in UTC — for both the dashboards and the periods Impact Reports cover — so an Insights “day” may not line up with your local day.
Browsing the dashboards costs nothing. Questions you ask the analytics agent are charged on the amount of data the query scans, and the written summary in each Impact Report is billed as AI utility credits. See Credits for how spend is tracked.The agent keeps its own cost low by aggregating instead of returning raw rows and, when your question doesn’t name a period, limiting time-series tables to the last 90 days. To look further back, state the date range in your question — that default applies only to the agent, never to the dashboards, whose range you set in the toolbar.
Every query is scoped to your organization and built against a fixed set of analytics tables and columns — there is no arbitrary SQL, values are passed as query parameters rather than pasted into the SQL text, and the organization and user filters are part of the query itself. Asking the agent to ignore those rules, or to role-play around them, does not change what it can read.

Usage Data Export

Export raw usage data as CSV for external analysis

AI Model Control

Manage which AI models are available in your organization

Custom Roles

Configure granular permissions and access controls

Audit Logging

Track user actions and system events for compliance