Agile Analytics · Azure DevOps

How Agile Analytics works

Install once, get sprint analytics, flow metrics, and Monte Carlo forecasts inside your Azure DevOps tab. Workflow mapping happens automatically. Your business data never leaves ADO.

Install from MarketplaceView product page

Auto workflow mapping

No setup wizard. No mapping form. Reads your board on first install and figures it out — including non-English workflows.

Your business data stays in your ADO

We don't collect or store it. Everything runs in your browser.

Read more →

Read-only — we never change your boards

We read work items and sprints. We don't create, edit, move, or delete anything.

Platform
Azure DevOps
Permissions
Read-only
Data egress
None (work item data)
Setup time
Under 2 min

Getting started

1

Install from the Visual Studio Marketplace

Go to the Visual Studio Marketplace and search for "Agile Analytics" or click the Install button above. You must be an Azure DevOps organization administrator to install extensions. The installation takes under a minute and requires no external webhooks, API keys, or additional configuration.

2

Open Agile Analytics in Azure DevOps

After installation, navigate to your Azure DevOps organization. Agile Analytics appears as a hub in the left sidebar under Boards. Click it to open the full-screen analytics workspace. If you do not see it, ask your organization administrator to confirm the extension is installed and that you have been granted access.

3

Select your project and team

Use the project picker at the top of the screen to choose any Azure DevOps project. Then use the team picker to select a specific team board. Sprint data and work items load automatically. You can switch teams or projects at any time without losing any configuration.

4

Configure WIP rules (optional)

To get the most out of WIP Monitor and Flow Analytics, set WIP limits for each workflow stage in the WIP Rules panel. Navigate to Settings in the left sidebar and open WIP Rules. Define a per-stage limit for each column in your team's board. These limits are saved per team and persist across sessions.

5

Explore your analytics

Use the left sidebar to navigate between analytics views. Each view is designed for a specific persona — Sprint Summary and Live Stats for Scrum Masters, Flow Analytics and WIP Monitor for Engineering Managers, Multi-Team views for Delivery Leads, and the Exec Report and DORA Metrics for stakeholder and leadership updates.

Accessing the app

Agile Analytics is an Azure DevOps hub extension — it opens as a full-screen view inside Azure DevOps, not a pop-up or external tab.

  • In your Azure DevOps organization, open a project and click Boards in the left navigation.
  • Select Agile Analytics from the Boards section of the sidebar.
  • Use the project and teampickers at the top to select your team's board. Sprint data loads automatically.
  • Navigate between analytics views using the left sidebar menu.

How auto workflow mapping works

Most ADO analytics tools ask you to manually map every board column to a flow stage. That's a 15-minute setup wizard you have to repeat for every team. We took the opposite approach.

When you open Agile Analytics for the first time on a team's board, it reads your column configuration directly and auto-detects the right mapping based on hundreds of common workflow patterns — including custom states, sprint-specific columns, and non-English workflows (English, Italian, German, French, Spanish, Portuguese).

If the auto-detected mapping isn't right for your team, you can override any stage in Settings → Workflow Mapping. Your override is saved per team and used on every future visit. The system also learns from explicit overrides — common patterns get added to the auto-discovery library in future releases.

What this means for you
  • Install → Open → Start using. No setup wizard.
  • Works on day one for boards using standard or custom states
  • Mappings are saved per team and persist across sessions
  • No "set up your workflow first" friction that other tools make you do
Read the full Workflow Mapping setup guide →

Analytics views

Most-used views appear first based on customer telemetry. The full library below is organized by role.

Most popular

DashboardScrum Masters & Team Leads
The primary workspace. Sprint health KPIs, completion percentage, WIP count, days remaining, an inline Monte Carlo forecast, a velocity mini chart, and a role-based playbook with tailored guidance per persona.
Sprint SummaryScrum Masters & Team Leads
Sprint goal, iteration dates, work item counts, story points, priority mix, and issue type breakdowns. Designed for stakeholder reporting and sprint review meetings. Can be shared or printed as a single-page report.
Cycle TimeEngineering Managers
Log-scale scatter plot showing cycle time for completed items with p50, p75, and p85 percentile reference lines. Includes a sortable table for drilling into individual work items. The chart explains itself: completed-looking items excluded from the plot are listed with the reason, and dots whose cycle start fell back to the creation date are visibly labelled as estimated.
Cumulative Flow DiagramEngineering Managers
Stacked-area chart showing work items in each workflow stage over time. Includes a snapshot data table for historical comparison and orange scope-change markers when items were added mid-sprint.
Next Sprint PlanningScrum Masters & Engineering Managers
Capacity-aware backlog forecast for your next sprint. Uses your team's velocity history and Monte Carlo simulation to suggest a realistic commitment range — so planning conversations are grounded in data, not gut feel.
Feature AnalyticsDelivery Leads & Program Managers
Feature-level sprint tracking with progress bars, completion rate, linked PRs, and unepiced item visibility. Tracks business feature delivery across iterations and teams. Helps Delivery Leads answer "which features are on track?" at a glance.

All views by category

Sprint Overview

Scrum Masters & Team Leads
Dashboard
The primary workspace. Shows sprint health KPIs, completion percentage, WIP count, days remaining, an inline Monte Carlo forecast, a velocity mini chart, and a role-based playbook with tailored guidance for Scrum Masters, Engineering Managers, Agile Coaches, and Delivery Leads.
Sprint Summary
A clean summary of the sprint goal, iteration start and end dates, work item counts, story points, priority mix, and issue type breakdowns. Designed for stakeholder reporting and sprint review meetings. Can be shared or printed as a single-page report.
Live Stats
Real-time counts of done, in-progress, and to-do items broken down by story points and work item type. Includes a team matrix and flagged item alerts for blocked or unassigned work.
Delivery Signals
Key delivery health indicators including throughput, sprint reliability, carryover risk, average cycle time, flow efficiency, blocked items, and unassigned work.

Planning & Forecasting

Scrum Masters & Engineering Managers
Monte Carlo Forecasting
Probabilistic delivery forecasting using 10,000 simulation runs based on your team's throughput history. Shows p50 to p85 confidence ranges and a velocity history table for calibration.
Sprint Capacity
Reads team capacity directly from Azure DevOps Boards — available days per member, team-wide days off, and effective capacity percentage — and recommends a story point commitment by applying capacity to your historical velocity.
Next Sprint Planning
Capacity-aware backlog forecast for your next sprint. Uses your team's velocity history and Monte Carlo simulation to suggest a realistic commitment range — so planning conversations are grounded in data, not gut feel.

Flow Analytics

Engineering Managers
WIP Monitor
Lane-by-lane utilization cards showing current work-in-progress against your configured WIP limits. Each lane shows a health badge: healthy, near limit, or over limit. Use the WIP Rules panel in Configuration to set limits per workflow stage.
Flow Metrics
Daily throughput sparkline, rolling average, status distribution donut chart, and flow efficiency ratio. Tracks the system's output and waste over time.
Flow Efficiency
Tracks the ratio of active work time to total elapsed time over rolling periods. Declining efficiency surfaces hidden queuing problems before they show up in delivery dates.
Cumulative Flow Diagram
Stacked-area chart showing work items in each workflow stage over time. Includes a snapshot data table for historical comparison.
Aging & Blocked
Lane-by-lane grid showing how many days each item has spent in its current status, stage history chips, and age bucket groupings. Identifies stalled and potentially blocked work at a glance.
SLE Violations
The drill-down behind the dashboard SLE card. One section per enabled service level expectation — its status, the same result sentence the card shows, and a worst-first table of every completed item that exceeded the target window, with a link into the matching Azure DevOps query. Both surfaces read the same evaluation, so they can never disagree.
Cycle Time
Log-scale scatter plot showing cycle time for completed items with p50, p75, and p85 percentile reference lines. Includes a sortable table for drilling into individual work items. Completed-looking items excluded from the chart are listed with the reason, and dots with an estimated start date are visibly labelled.
Process Behavior
Wheeler XmR (SPC) chart applied to throughput, cycle time, or flow efficiency. Separates routine variation from genuine process signals using natural process limits computed from your own sprint history — and states its conclusion in a sentence.
Cycle Time Heat Map
A week-by-week density grid of completed items by cycle-time band. Warm cells show where the bulk of your delivery sits; drift across weeks is an early warning of cycle-time creep before period percentiles shift.

Portfolio & Executive

Delivery Leads & Executives
Feature Analytics
Feature-level sprint tracking with progress bars, current status, completion rate, and unepiced item visibility. Tracks business feature delivery across iterations and teams. Helps Delivery Leads answer "which features are on track?" at a glance.
Epic Analytics
Epic-level progress with completion percentage, delivery pace, and a plan-aware quarterly roadmap. Set a Target Date in Azure DevOps and the epic shows as planned; epics whose pace forecast lands later than the plan are flagged.
Exec Report
A stakeholder-ready delivery summary generated from your live sprint and flow data. Print it to PDF for the meeting, or schedule an email digest — double opt-in, one-click unsubscribe — so leadership gets the update without opening Azure DevOps. Report content is generated on demand and never stored on our servers.
DORA Metrics
Deployment frequency, lead time for changes, change failure rate, and time to restore — computed natively from your work items and pipelines. Turn on the deploy-linked option and lead time is measured from the work items in each real deployment, and change failure rate is attributed to actual deploys ("N of M sampled deploys failed") beside the defect-based estimate rather than replacing it. Deploys that cannot be attributed are disclosed on the card, not quietly counted. No exports, no connectors, no separate DevOps intelligence platform.
Investment Allocation
Shows where each team’s effort goes — features vs bugs vs maintenance — with unplanned work called out and work that cannot be classified shown explicitly rather than hidden. Includes a project-wide row for org-level context.

Agile Coach & Multi-Team

Coaches, Delivery Leads & Program Managers
Multi-Team Aging
Age distribution buckets across teams with per-assignee visibility of the oldest item in each bucket. Use this view to identify process bottlenecks across multiple teams in the same project. Teams with chronic aging spikes often indicate upstream dependencies or unclear acceptance criteria.
Retro Snapshot
A pre-built retrospective summary generated from sprint data. Shows what went well, what could improve, and produces copy-ready text for retrospective meetings.
Team Benchmarks
Ranked comparison of teams by throughput, active work count, story points, and completion rate — framed around flow health and which teams need support first, not ranking people.
Industry Benchmarks
Opt-in comparison of your flow metrics against anonymised cohorts of similar teams. Cohorts only publish once enough organisations participate, so no single organisation is ever identifiable.

AI Adoption

Engineering Leaders & Admins
AI Metrics
Company-wide AI adoption analytics for GitHub Copilot, Microsoft 365 Copilot, or a custom API source. Active users, acceptance rate, team-level adoption, and insights — with clearly labelled demo data until a live source is connected.
AIIP
The AI Improvement & Intervention Panel — admin-only alerts, intervention tracking, milestone celebrations, and per-team Teams notifications for acting on AI adoption signals.

Tools

Operations & Administration
User Metrics
Per-contributor done, active, and to-do counts with story point totals, work item mix, and flagged work. Supports fair workload distribution conversations.
Audit Trail
A chronological log of all configuration changes with the action taken, detail, user, and timestamp. Useful for governance and troubleshooting.
Org Hygiene
Organisation-level data hygiene checks — inactive teams, stale in-progress items, and empty iterations — with click-through to the affected work items so you can clean up the data your analytics depend on.
Configuration
Configure WIP limits per workflow stage, map custom board columns to analytics categories, and manage your license key. Settings are saved per team and persist across sessions and upgrades.
Data & Privacy
An in-app transparency page documenting exactly what the extension accesses, what is sent to Baytek — your Azure DevOps organisation ID, to confirm your subscription, plus usage and error telemetry — and what never leaves your tenant: work item content, project and team names, user names and email addresses. It also shows where to switch usage telemetry off. Share this tab with procurement reviewers instead of preparing a separate trust document.

Technical specifications

Platform
Azure DevOps (cloud and on-premises)
Extension type
Azure DevOps hub extension
Permissions
Read-only access to work items, boards, and iterations
Data storage
Azure DevOps extension storage — configuration and forecasts stay in your tenant
External network calls
License validation + minimal telemetry only — work item data never leaves Azure DevOps
Frontend
React 18 with inline SVG charts
Process templates
Agile, Scrum, CMMI, and custom inherited
Theme
Adapts to Azure DevOps light and dark themes

Details: the extension contacts Baytek only for license validation and minimal usage telemetry (see the Privacy Policy). Optional AI and webhook integrations call only endpoints you configure.

Common questions

Do I need to be an Azure DevOps admin to install?
Yes, installing extensions from the Visual Studio Marketplace requires Azure DevOps organization administrator permissions. Once installed, organization admins can grant access to specific users or groups from the Extensions management page.
Which Azure DevOps process templates are supported?
Agile Analytics works with all Azure DevOps process templates: Agile, Scrum, CMMI, and custom inherited processes. Work item types and workflow states are read dynamically from your board configuration.
Does the extension send any data outside of Azure DevOps?
No — work item and sprint data is read from the Azure DevOps REST API and processed in your browser. Nothing flows through our servers. See the Security page for the full data isolation architecture.
Read the full architecture →
How do I start the free trial?
Install from the Visual Studio Marketplace. Your 30-day free trial starts automatically on the first install — no credit card required. You will see a countdown banner inside the extension as the trial period approaches its end.
How do I activate my license key?
Open Agile Analytics inside Azure DevOps, go to Settings in the left sidebar, open License, paste the key from your purchase confirmation email, and click Activate.
How do I set up WIP rules?
Navigate to Settings in the left sidebar and select WIP Rules. Set a numeric WIP limit for each workflow stage on your team's board. Once configured, the WIP Monitor view will show a health badge (healthy, near limit, or over limit) for each lane. WIP limits are saved per team.
Can I use the extension across multiple teams in the same project?
Yes. Use the team picker at the top of the screen to switch between any team in your Azure DevOps project. Each team's WIP rules and settings are stored independently.
I need help. How do I contact support?
Email support@baytekdev.com. Support is available Monday to Friday, 9 AM to 5 PM Pacific Time.

Need help?

Our support team is available Monday through Friday, 9 AM to 5 PM Pacific Time.

Submit a support requestsupport@baytekdev.com