Azure DevOps sprint reporting, dashboards, and forecasting without Power BI
Agile Analytics is an Azure DevOps extension that adds Next Sprint Planning, sprint health, flow metrics, DORA metrics, and Monte Carlo forecasting to Azure DevOps Services (cloud). Try it free for 30 days, no credit card.
5.0 on Azure Marketplace
- Lives in your project’s left menu, next to Boards and Pipelines
- Cycle time with sample size and a data-quality grade
- Current WIP for the selected team and sprint
- A “How many?” forecast at 95, 85, 70 and 50% confidence
One price per organisation · Unlimited projects · 30-day free trial
Three questions a sprint planning meeting asks
How many items will we finish by the 30th?
Pick a target date and the forecast reads your own throughput: here 16 or more items at 95% confidence and 19 at a coin flip, from 10,000 simulated runs over the last 6 sprints. The distribution chart below shows how likely each count is.
Find it under Plan › Monte Carlo
Who is over their WIP limit?
One line answers it: 1 of 2 teams is over its WIP limit. Checkout Team runs 6 items against a limit of 5, 120% utilisation; Payments Team sits at 5 of 7 and reads healthy.
Find it under Health › WIP Monitor
How long does work really take?
Every completed item is a dot on the day it finished. For Payments Team, 53 items in scope: a typical item takes 7.7 days (p50) and 85% finish within 12.5 days, against a 10-day target.
Find it under Plan › Cycle Time
All Features Included
Every feature on every plan
Agile Analytics is licensed per Azure DevOps organisation. Pick the number of seats that fits your team. Every plan unlocks the full product.
Next Sprint Planning
Capacity- and Monte-Carlo-aware recommendation for what your team can realistically commit to next sprint, with cycle-time reality check, backlog risk scan, and commitment reliability, all read from your existing Azure DevOps Boards data.
Flow metrics that stay inside Azure DevOps
Track cycle time, cumulative flow, WIP pressure, and throughput without exporting your delivery data into another reporting stack.
Monte Carlo forecasting
Run probability-based forecasts from your own throughput history so delivery conversations are grounded in confidence ranges, not guesses. Built-in Azure DevOps reporting stops at averages and standard deviations.
Sprint intelligence
See velocity, scope change, carryover, burndown, team health, and alerts in one place for every team in the organisation.
Sprint capacity planning
Read sprint dates, working days, days off, and per-member capacity directly from Azure DevOps Boards to calculate effective capacity and recommended commitment.
AI adoption analytics
Track GitHub Copilot adoption across every team: active users, acceptance rates, team leaderboards, and an admin panel for acting on the signal.
Operational alerts
Catch WIP breaches, stale work, sprint risk, and weekly digest events early through built-in notifications and monitoring.
Stakeholder-ready exports
Export any chart to PNG and any table to CSV, and build shareable sprint summaries for stakeholder reviews and leadership reporting, straight from the views your team already uses.
Shipped recently
- 6.59.2
- October 2026Aging & Blocked follows your team’s real workflow in board order, and dashboard widgets can pick a team from any project.
- 6.59.1
- October 2026Teams with no sprints get a clear Dashboard message, and the cycle-time figure has one name on every view.
- 6.59.0
- October 2026Exec Report becomes a one-page summary you can share, the Sprint Forecast widget is free for every organisation, and commitment reliability counts only your own team’s work.
Details
- Runs
- In your browser, inside Azure DevOps. Azure DevOps Services, not Azure DevOps Server.
- Permissions
- Four read-only Azure DevOps scopes: vso.project, vso.work, vso.graph, vso.build
- Your work items
- Stay in your Azure DevOps tenant. Baytek does not receive work-item content. What we receive
- Trial
- 30 days, every feature, for everyone in your organisation.
- Price
- One price per organisation, from $300/year.
- Version
- 6.59.2, October 2026
See the dashboards your teams will actually use
From sprint summaries to flow analytics and forecasting, the full experience lives inside Azure DevOps from trial through paid activation.
Pricing
Pricing that grows with your team
- Team
- 2 seats included
- $300/year
- Business
- 6 seats included
- $1,200/year
- Premium
- Unlimited seats
- $2,000/year
One flat price per organisation. You're never charged per user. See how it compares to per-user pricing →
Product paths
Choose the product experience that matches your platform
Azure DevOps and Jira editions are priced and trialled separately, and Copilot Metrics and Testaro are their own products. Pick the one that matches your platform and problem.
Agile Analytics for Azure DevOps
Azure DevOps · Trial + Paid
The commercial edition: 30-day trial, one price per organisation, and every sprint and flow view.
View pricing →Agile Analytics for Jira
Jira · Free during beta
The Jira Cloud edition: sprint intelligence, aging charts, flow metrics, and forecasting.
Explore Jira edition →Copilot Metrics
GitHub Copilot · AI adoption analytics
GitHub Copilot adoption, engagement, and seat usage for teams on Azure DevOps or Jira.
Explore Copilot Metrics →Testaro
Azure DevOps · Early access · Free
Native test management for Azure DevOps: author cases, run suites, and report on quality without leaving your ADO tenant or paying per tester.
Explore Testaro →
Explore by use case
Start with the delivery problem you want to solve first
Browse targeted pages for sprint reporting, flow analytics, forecasting, WIP control, and buyer comparisons. Browse use cases · Browse comparisons
- Use Case
Azure DevOps Analytics Extension
An Azure DevOps (ADO) analytics extension for sprint reporting, flow metrics, DORA metrics, and forecasting without a separate BI stack or hosted analytics backend.Open page → - Use Case
Azure DevOps Sprint Reporting
What a sprint analytics extension for Azure DevOps needs to get right: day-one commitment, scope change, carryover, cycle time, and multi-team rollups, and how Agile Analytics does each one with Sprint Summary, Sprint Capacity, Live Stats, Delivery Signals, Exec Report, and Retro Snapshot.Open page → - Use Case
Azure DevOps Cycle Time Analytics
Cycle time analytics for Azure DevOps Boards: a percentile scatterplot, a cycle-time density heat map, honesty flags for estimated starts and reopened items, and SLE compliance tracking, computed inside the hub with no PAT.Open page → - Use Case
Azure DevOps Monte Carlo Forecasting
Monte Carlo forecasting for Azure DevOps (ADO) teams that need data-backed delivery dates and confidence ranges without building a separate forecasting tool.Open page → - Use Case
Azure DevOps WIP Monitoring
WIP monitoring for Azure DevOps (ADO) teams that want faster visibility into overloaded teams, blocked work, and aging in-progress items before delivery risk compounds. The WIP Monitor and Aging Chart views in Agile Analytics, inside Azure DevOps.Open page → - Use Case
Azure DevOps Dashboard
A unified Azure DevOps (ADO) dashboard for sprint health, flow metrics, forecasting, and delivery signals, without exporting data to Power BI or another reporting stack.Open page → - Use Case
Power BI Alternatives: Azure DevOps Reporting
What are the alternatives to Power BI for Azure DevOps sprint reporting and dashboards? A sourced, honest comparison of the built-in Azure DevOps Analytics widgets, Power BI with the Analytics service, and an in-product extension, with the real answer for each buyer.Open page → - Use Case
Azure DevOps Flow Metrics
A flow metrics tool for Azure DevOps (ADO) covering flow efficiency, cumulative flow, aging work items, and throughput, computed from your boards without exporting data anywhere.Open page → - Use Case
Azure DevOps Analytics Without a PAT
Azure DevOps analytics that needs no personal access token and keeps work item data inside your tenant. How Agile Analytics reads Azure DevOps through the signed-in user’s own session, which four read-only scopes it declares, and exactly what does and does not reach the publisher.Open page → - Comparison
Azure DevOps Analytics vs Power BI
A sourced comparison of Azure DevOps Analytics, Power BI, and Agile Analytics: OData feeds, licensing costs, data freshness, and where each fits.Read comparison → - Comparison
ActionableAgile Alternative for Azure DevOps
A sourced, side-by-side comparison of Agile Analytics and ActionableAgile Analytics for Azure DevOps: flow metrics, Monte Carlo forecasting, pricing, data handling, and where each is the better choice.Read comparison → - Comparison
Azure DevOps Analytics Tools Compared
A decision framework for picking the right Azure DevOps (ADO) analytics tools, covering DevOps analytics extensions, Power BI, ActionableAgile-style apps, and built-in ADO reporting.Read comparison →
From the blog
Practical rollout guidance for Azure DevOps teams
Three recent posts. Browse all articles →
Start here
What Every Azure DevOps Dashboard Widget Should Show
A guide to the Azure DevOps dashboard widgets that actually drive sprint conversations — sprint summary, velocity, burndown with commitment line, cycle time, throughput, and flow signals — and what to look for when choosing a widget set.Read the guide →How to Measure DORA Metrics in Azure DevOps — Natively, Without Exporting Your Data
A practical guide to the four DORA metrics — deployment frequency, lead time for changes, change failure rate, and time to restore — and how to measure them directly inside Azure DevOps from the work items and pipelines you already have, with nothing sent to a third party and no connectors to maintain.Read the guide →
- September 30, 2026 • 7 min read
Azure DevOps Burndown Chart: How to Set One Up and How to Read It Honestly
How to get a sprint burndown chart in Azure DevOps using the built-in tools, how to read the shape without fooling yourself, and where a burndown alone stops being enough.Read article → - August 3, 2026 • 2 min read
Team and Business plans are moving to annual billing
Team and Business subscriptions are now billed once a year — $300/year for Team and $1,200/year for Business, the same total as before. Premium is unchanged. Existing monthly subscribers keep their current price and billing exactly as they are.Read article → - July 28, 2026 • 8 min read
Change Failure Rate You Can Defend: Attributing Failures to Real Deployments
Most change failure rate numbers are a ratio of bugs to delivered work — a proxy that answers a different question than the one DORA asks. Here is how to compute CFR from actual deployments in Azure DevOps: which deploy broke, what counts as evidence, and why an honest number has to say when it does not know.Read article →
Common questions
What counts as a seat?
A seat is an assigned place on your plan. Your extension admin assigns people in Configuration → Access Control; assigned users, including admins, each hold one seat. The Team plan includes 2 seats, Business includes 6, and Premium is unlimited. You can swap seats at any time by removing someone and assigning someone else. During the trial there are no seats: everyone in your organisation has full access.
What happens if my team grows past my seat count?
You can never be billed for more than your plan. When every seat is assigned, new assignments are simply refused until you remove someone or upgrade. Everyone without a seat still sees the Dashboard and can request a seat from your admin in one click.
Which plan should I pick?
Pick Team if a few people on one squad will open the reports, Business if you have a full delivery team or two, and Premium if you want every Azure DevOps user in your org to be able to look at the metrics whenever they like.
What counts as an "organisation"?
One Azure DevOps organisation (for example, dev.azure.com/your-org). The extension is installed at organisation level, so the seat count is scoped to that organisation. Each subscription covers a single organisation, and your license key locks to the first organisation it is activated in. If you run more than one organisation, each needs its own subscription.
Who's behind it
Hi, I'm Henry Sword
I'm Henry Sword, and I lead Agile Analytics. I started it because the teams I coached kept exporting Azure DevOps to spreadsheets to answer "when will it be done?". It is installed in more than 100 Azure DevOps organisations, and I read every message that comes through the form.
Henry Sword, Baytek · Ask Henry, personal reply within one business day
Ready to start the 30-day trial?
Install from the Azure Marketplace, use every feature with your whole organisation, and activate your license key only when you're ready to keep going.
30-day free trial • Plans from $300/yr • Every feature included