Find the Azure DevOps reporting problem you want to solve first
Start with the page that matches your rollout goal, from sprint reporting and cycle time visibility to forecasting and WIP control.
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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.
- Install in your Azure DevOps organization and start the 30-day free trial in minutes
- Keep analytics inside your tenant with no publisher-hosted analytics backend
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Azure DevOps Sprint Reporting
A sprint report for Azure DevOps teams that need clearer velocity, burndown, scope change, and commitment reliability views for retrospectives and planning.
- Review velocity, burndown, sprint detail, and scope completion in one place
- Spot over-commitment, late-sprint delivery patterns, and added scope faster
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Azure DevOps Cycle Time Analytics
Cycle time analytics for Azure DevOps (ADO) with percentile-based views, aging work visibility, and flow analysis for engineering leaders improving throughput and predictability.
- Track cycle time distribution with percentile lines that support realistic service expectations
- Surface work items that are aging beyond the team’s normal delivery pattern
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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.
- Run a 10,000-trial bootstrap simulation against your own finished-sprint throughput, right where the backlog already lives
- Read P50, P70, P85, and P95 as an honest range instead of a single promised date
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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.
- See every configured team’s work in progress against its own WIP limit, with one headline verdict and a load chart sorted by risk
- Highlight blocked or slow-moving items before they derail sprint outcomes, with age thresholds calibrated to your own cycle time history
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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 one Azure DevOps dashboard that shows sprint health, cycle time, throughput, WIP pressure, and forecast ranges
- Skip the Power BI build: every chart is wired to your boards out of the box
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Azure DevOps Reporting (ADO Reporting)
Azure DevOps reporting (ADO reporting) for sprint reviews, flow analysis, executive updates, and delivery forecasting, without exports to Power BI or external BI tools.
- Run sprint reports, flow reports, and the Exec Report (a stakeholder-ready executive summary) from the same data inside Azure DevOps
- Print the Exec Report to PDF or schedule it as an email digest when leadership needs a clean handoff, and export charts as PNG and tables as CSV or Markdown
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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.
- See flow efficiency, cumulative flow, aging work, and throughput in one Azure DevOps flow metrics tool, wired to your boards
- Know which workflow stage is responsible for the delay, not just that cycle time is longer than last sprint
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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.
- Nothing to provision: the extension is authorized by the signed-in user’s own Azure DevOps session, with four read-only scopes listed on the Marketplace before you install
- Work item content, sprint data, and the analytics computed from them stay in the browser and in your Azure DevOps organization; they are not sent to Baytek