Azure DevOps-native sprint and flow intelligence
Sprint health, flow metrics, forecasting, reporting, and operational controls inside Azure DevOps with no publisher-hosted analytics backend.
Real-time visibility into every sprint
Understand how your team performs sprint over sprint. Catch commitment drift early and arrive at every planning session with data to back your decisions.
Sprint Velocity
Visualizes the last 6 completed sprints — committed story points vs completed story points side by side. Automatically calculates commitment reliability % and flags sprints where scope creep or under-commitment occurred.
- Last 6 sprints bar chart — committed vs completed
- Commitment reliability % trend line
- Highlights over- and under-commitment patterns
- Filters by team and iteration path
Sprint Burndown
Current sprint SVG burndown chart showing ideal burn-rate vs actual remaining work. Ahead/behind badge updates live as items are completed throughout the sprint.
- Ideal line vs actual remaining work
- Ahead / Behind badge with delta in story points
- Updates live without page refresh
- Works with both story points and item count
Sprint Detail
Current sprint point summary plus a breakdown of every work item by state. See exactly what is In Progress, Blocked, Done, and yet to be started — all on one screen.
- Total committed, completed, remaining, added scope
- Items grouped by workflow state
- Blocked item indicator
- Click-through to work item detail
Scope Completion
Tracks the percentage of the original sprint commitment that was completed, separating scope added mid-sprint from the initial plan. Helps distinguish planning problems from execution problems.
- Original commitment vs final completion %
- Mid-sprint scope additions clearly flagged
- Historical scope discipline trend
- Team-level and individual-level views
Measure flow efficiency, not just output
Cycle time and throughput reveal how work actually moves through your process. Use flow analytics to identify bottlenecks, reduce variability, and build predictability.
Cycle Time Scatterplot
Every completed work item is plotted as a dot — date completed on the X axis, cycle time in days on the Y axis. Percentile lines (50th, 85th, 95th) give instant SLE (Service Level Expectation) visibility.
- P50, P85, P95 percentile lines
- Filter by work item type and date range
- Outlier highlighting for long-running items
- Export to PNG for reporting
Flow Efficiency Trends
Tracks the ratio of active work time vs total elapsed time (wait time + active time) over rolling 4-week periods. Declining efficiency surfaces hidden queuing problems.
- Active time vs wait time breakdown
- Rolling 4-week efficiency trend
- Column-level flow analysis
- WIP vs throughput correlation view
WIP Monitor
Live board view showing every in-progress item, its age in days, and which items are approaching or exceeding team-configured WIP limits. Red badges alert on policy breaches instantly.
- Per-column WIP count vs configured limit
- Item age in days — color coded (green/amber/red)
- Configurable WIP limit per column
- Breach alert with count of violations
Aging & Blocked Items
Surfaces items that have been in the same state longer than expected or are explicitly tagged as blocked. Prevent forgotten tickets from becoming sprint surprises.
- Age threshold alerts per column
- Blocked tag detection
- Time-in-state histogram
- Escalation-ready summary list
Forecast delivery with statistical confidence
Use your own historical throughput data to build probabilistic forecasts. Stop guessing delivery dates and start presenting confidence intervals backed by 10,000 simulated futures.
Monte Carlo Forecast
Enter a backlog item count, select a throughput window, and the simulator runs 10,000 iterations drawing from your real delivery data. Output: P50, P85, and P95 delivery date estimates.
- 10,000 simulation runs per forecast
- P50 / P85 / P95 confidence date bands
- Configurable throughput lookback window
- Histogram of simulated completion dates
Feature Delivery
Tracks active Features (epics) and their child story completion percentage using WIQL link queries. Know which features are on track and which need attention before stakeholder reviews.
- Feature-level completion % via child link query
- Active vs completed child story counts
- Rollup from any work item hierarchy level
- Filter by area path and iteration
Delivery Signals
Aggregated risk signals across all current work: blocked ratio, WIP policy compliance, cycle time deviation, and scope change index. Single-panel health score for leadership dashboards.
- Composite delivery health score
- Blocked ratio, WIP compliance, scope drift signals
- Traffic-light status (green/amber/red)
- Trend vs previous sprint comparison
AI-powered coaching and automated monitoring
The AI Sprint Assistant can help your team interpret sprint and flow signals in plain English. The Background Monitor keeps important delivery checks running even when the browser is closed.
AI Sprint Assistant
Ask questions about your sprint, team performance, or delivery risk in natural language. The assistant interprets your metrics and responds with actionable coaching when your team enables an external AI provider.
- Natural language Q&A over your sprint data
- Optional provider configuration managed by your team
- Context-aware — knows your current sprint state
- Suggested questions for common coaching scenarios
Background Monitor
Provisions an ADO pipeline in your organization that runs on a schedule to check WIP limits and send alert notifications. Monitoring continues even when no one has the extension open.
- Auto-creates an Azure Pipeline on setup
- Configurable check interval (hourly / daily)
- WIP breach notifications via ADO / email
- No external webhook or infrastructure needed
Retro Snapshot
One-click PNG export of your sprint summary — velocity, burndown, flow metrics, and key insights. Share directly to Teams or Slack, or drop it straight into your retro board.
- Export sprint velocity, burndown & flow summary as PNG
- Share to Microsoft Teams or Slack webhook
- Export as Markdown for wikis and docs
- Always up-to-date with live sprint data
Control, compliance, and user metrics
Manage who sees what, understand individual contribution patterns, and configure the extension to match your team's workflow states and board setup.
Access Control
Built-in Admin and User roles with Azure DevOps directory search. Admins configure limits, alert thresholds, and AI settings. Users get a read-only analytics experience.
- Admin vs User role assignment
- ADO directory search for user selection
- Role-based view permissions
- Audit log for configuration changes
User Metrics
Individual-level contribution metrics: items completed, story points delivered, PR review participation, and cycle time by assignee. Surface coaching opportunities.
- Per-user velocity and cycle time
- PR review activity from ADO Git data
- Normalized workload distribution chart
- Sprint-over-sprint comparison by individual
Team Leaderboard
Normalized ranking across multiple squads or Scrum teams in a program. Score incorporates velocity, commitment reliability, WIP discipline, and scope change index for a fair composite rank.
- Multi-team ranking in a single program view
- Composite score across 4 health dimensions
- Trend arrows (up/down vs prior sprint)
- Filter by area path to scope the leaderboard
Configuration
Extension-level settings: custom workflow state mappings, WIP limit policies, AI model selection, alert threshold configuration, and Background Monitor pipeline management.
- Custom workflow state to lifecycle phase mapping
- Per-column WIP limit policy editor
- AI provider and API key configuration
- Background Monitor pipeline provisioning
Ready for full sprint and flow visibility?
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