Engineering Activity & Outcomes Analytics
See where engineering effort goes and what it delivers.
TeamGlimpse connects activity from your engineering tools with goals, contributions, and delivery progress — without piecing together reports by hand.
Self-hosted on infrastructure you control.
Explore the live demo with synthetic data. No installation needed.
Explore supported data sources
Select a source to preview example activity. Available data and views depend on the source and configuration.
AI summaries via
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Anthropic -
OpenAI -
Self-hosted LLM
AI summaries use the provider your organization configures.
- Commits
- Pull requests
- Code reviews
Code and review activity
Review code changes and collaboration in context.
- Commits
- Merge requests
- Review activity
Contribution context
See contribution and review activity together.
- Jira issues
- Parent items
Jira work-item hierarchy
Explore Jira issues in the context of parent work items and goals, where linked.
Illustrative example
- Work items
- Parent items
- Estimates
Work-item hierarchy
Review Azure DevOps parent progress and estimated-effort roll-ups.
Illustrative example
- Meetings & calls
- Email & file activity
Microsoft 365 activity
Add meeting, call, email and file activity where collected. Sign-in and usage data may also be included; event types depend on configuration.
- Meetings & calls
- Email & file activity
- Other configured events
- Cases
- Opportunities
- Tasks & meetings
Salesforce activity
Review supported CRM activity from Salesforce where available. Coverage depends on your configuration.
See how engineering activity connects to goals and delivery.
What did the team deliver?
How does work connect to goals?
Where is delivery slowing down?
What needs attention?
Get the answers you need without piecing together reports.
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Report on what your team delivered
Review completed work and ongoing activity in one place. With a configured LLM, export an AI-written summary as PDF or Markdown for a leadership update.
Explore activity summaries -
See how work connects to goals
Review assignments and contributions alongside the goals and initiatives your team is working on.
Explore goals & contributions -
Understand where delivery slows down
See how delivery time is split across development, review wait, review, merge, and QA.
Explore delivery flow
Go beyond activity counts.
Turn team activity into a clear summary.
Generate AI-written summaries of collected team activity. Default prompts focus on completed and open work, goals, and collaboration.
Requires a configured LLM provider.
See how contributions connect to larger goals.
Review assigned work and contributions in separate views, with links to goals and parent tasks where available.
See where delivery time accumulates.
Trace Jira issues through development, review wait, review, merge, and QA using linked Git activity where available.
- Development
- Review wait
- Review
- Merge
- QA
Spot activity patterns worth reviewing.
Defined rules highlight stale issues and merge requests, and other activity patterns with Warning or Critical severity.
We built it to solve a problem we faced ourselves.
After 12 years of running a fully remote team, we knew how difficult it was to get a clear picture of engineering work. Git showed code, Jira tracked issues, and meetings filled in the gaps. But understanding how that work connected to goals and delivery still meant piecing everything together by hand.
That's why we built TeamGlimpse.
Turn scattered team activity into a clear view of delivery.
Connect your work tools. TeamGlimpse brings activity, work items, and delivery data together, helping you understand what's happening across your team.
1 · Connect your work tools
Bring in data from the tools your team already uses.
- GitHub
- GitLab
- Jira + Confluence
- Azure DevOps
- Microsoft 365
- Salesforce
2 · Put activity in context
Explore collected activity alongside work items, goals, contributions, and delivery progress.
- Activity
- Goals
- Workload
- Delivery
- Contributions
AI summaries via
- Anthropic
- OpenAI
- Self-hosted LLM
AI summaries require a configured LLM provider.
3 · Explore the results
- 6 supported integrations Use the tools your team already works in
- 5 delivery phases From development through QA
- 2 red-flag severity levels Warning and Critical signals
Available views depend on connected data sources.
Run TeamGlimpse on your own infrastructure.
Deploy TeamGlimpse in your environment, with organization data stored in PostgreSQL databases you control. Choose the installation method that works for your team.
Install using the Debian package.
Run TeamGlimpse using Docker.
Install from the tar.gz bundle.
Need help installing? Talk to the team →
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Infrastructure you control
Run the application on customer-managed infrastructure.
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Flexible deployment
Choose between Debian package, Docker, and manual installation.
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Your choice of AI provider
Configure Anthropic, OpenAI, or a self-hosted LLM for AI-powered summaries.
Questions about TeamGlimpse?
What is TeamGlimpse?
TeamGlimpse is a self-hosted engineering activity and outcomes analytics platform. It brings together data from connected work tools to help teams review activity, goals, contributions, and delivery progress in context.
How is TeamGlimpse different from Jira or GitHub dashboards?
Jira tracks work items, while GitHub and GitLab show code and review activity. TeamGlimpse uses linked Jira and Git events to show how delivery time splits across development, review wait, review, merge, and QA. It also offers separate assignments and contributions views, plus AI summaries of collected activity with a configured LLM.
Which tools does TeamGlimpse integrate with?
TeamGlimpse supports GitHub, GitLab, Atlassian (Jira and Confluence), Azure DevOps, Microsoft 365, and Salesforce. Each integration can be configured separately. Available analytics depend on the connected data sources.
Does TeamGlimpse install monitoring software on employee devices?
No. TeamGlimpse collects activity through APIs of connected work tools, with collection running server-side. It does not install an agent on employee devices, take screenshots, or record keystrokes. Collected data depends on the connected sources and, for Microsoft 365, configured event types.
Is TeamGlimpse self-hosted, and where is data stored?
Yes. TeamGlimpse runs on customer-managed infrastructure and stores organization data in PostgreSQL databases you control. Connected services and configured AI providers may involve external data transfers.
Which AI providers does TeamGlimpse support?
TeamGlimpse supports Anthropic (Claude), OpenAI, and a self-hosted LLM. AI summaries and Value Stream analyses require a configured provider. When they run, selected activity or value-stream data is sent to that provider.
Can I try TeamGlimpse without installing it?
Yes. Explore the live demo with synthetic data before installing TeamGlimpse or connecting your own work tools. You may be asked to complete a verification check before entering.