Agile Analytics is an extension that runs inside Azure DevOps. Unlike SaaS-based tools that pull your work item data into an external database, Agile Analytics queries the Azure DevOps REST API directly from your browser, and your work item content never leaves your organization.
What Runs Where
Most analytics tools for Azure DevOps connect to a hosted backend that periodically syncs your data. Agile Analytics works differently: your Boards data is queried and analysed in the browser. There is a Baytek backend, but it handles licensing and product health — not your work item data.
- Work item queries run directly from the browser against your own Azure DevOps instance
- Charts and metrics are computed in-memory on the client side, and are not cached or stored outside your browser session
- Work item content, project and team names, and user names never leave your Azure DevOps tenant
- Your extension configuration is stored in your own Azure DevOps organisation, in its extension data storage
What Is Sent to Baytek
Two things do leave the browser, and it is worth stating them plainly rather than claiming nothing does:
- Your Azure DevOps organisation ID — so we can confirm your subscription or trial is active
- Usage and error telemetry — which views are opened and what failed, so we find breakage before you report it. This can be switched off under Configuration → Privacy
Related: Data & Privacy: in-app transparency for security-conscious teams
How the Extension Integrates with Azure DevOps
The extension is installed from the Visual Studio Marketplace and appears as a set of tabs and panels inside your Azure DevOps project. It uses the standard Azure DevOps Extension SDK to authenticate as the current user — no separate login or OAuth flow required.
Work Item Queries
Agile Analytics uses WIQL (Work Item Query Language) to fetch sprints, stories, tasks, and bugs from your backlog. It respects your existing area paths, iteration paths, and team configurations.
Real-Time Calculations
Metrics like velocity, cycle time, and flow efficiency are computed in the browser each time a dashboard view loads. This means your data is always current — no waiting for a nightly sync.
Key Modules at a Glance
The hub sidebar groups every view into eight sections:
- Live — the home dashboard and live sprint stats
- Health — aging and blocked work, WIP monitoring, SLE violations, sprint summary
- Plan — Monte Carlo forecasting, sprint capacity, cycle time, next-sprint planning
- Measure — flow metrics, flow efficiency, cumulative flow, process behaviour, cycle time heat map, feature and epic analytics, DORA metrics, investment allocation, exec report
- Agile Coach — multi-team aging, retro snapshot, team benchmarks, industry benchmarks
- AI Metrics — GitHub Copilot adoption analytics, plus the AI Improvement & Intervention Panel for admins
- Tools — org hygiene, configuration, help and support links, data and privacy
- Extra — user metrics and audit trail
Who It Is For
Agile Analytics is designed for Scrum Masters, Engineering Managers, Team Leads, and Agile Coaches who use Azure DevOps and need more visibility than the built-in boards and reports provide. It is especially useful for teams that:
- Want to measure and improve sprint predictability
- Need to identify bottlenecks and WIP accumulation
- Are asked to forecast delivery dates with confidence intervals
- Want a facts-first retro snapshot to anchor the retrospective conversation
Getting Started
Install Agile Analytics from the Visual Studio Marketplace to begin the 30-day free trial. After installation, navigate to any Azure DevOps project and you will find the Agile Analytics hub in the left sidebar. Select your team and iteration path to start seeing your sprint metrics immediately — no configuration required beyond your existing ADO setup.