About Engineering Analytics
Engineering Analytics turns everyday development activity — commits, pull requests, work items, pipelines, deployments, and IDE AI usage — into leadership-ready dashboards, AI insights, and scheduled reports. Connect once, then explore fast, always-available analytics without hammering your Azure or GitHub APIs.
Visibility for engineering leaders, built on data you already have
Engineering Analytics is a multi-tenant platform that helps engineering leaders measure delivery activity across teams, vendors, repositories, CI/CD pipelines, and IDE AI tools. It is designed for visibility, collaboration, and process health — not employee surveillance or individual productivity scoring. Administrators map developers to teams and vendors and manage bot detection, so reporting reflects the analytics you actually care about.
Everything you need to measure engineering activity
Import once, analyze continuously, and share results with executives and engineering leaders.
Source sync
Connect Azure DevOps or GitHub, import commits, pull requests, work items, pipeline runs, and deployments, then keep everything current with incremental sync.
Leadership dashboards
Executive, engineering, repository, team, vendor, pull request, work item flow, pipeline, and deployment views with trends, KPIs, and activity heatmaps.
CI/CD & delivery
Azure DevOps Pipelines, GitHub Actions, and release deployments in one place — success rates, duration trends, deployment frequency, and delivery gaps from imported history.
Cursor & external AI
Sync Cursor team usage via Admin API or CSV, roll up spend and activity by developer and team, and correlate IDE AI with commits — separate from platform AI credits.
AI assistant
Ask natural-language questions about contribution, PR health, delivery flow, pipeline reliability, Cursor usage, and team comparisons — grounded in imported analytics.
Reports & exports
Generate executive, team, repository, vendor, pull request, pipeline, and deployment exports in HTML, CSV, Excel, or PDF — on demand or on a schedule.
From pull request to production
Import Azure DevOps Pipelines, classic builds, release deployments, and GitHub Actions workflow runs into the same warehouse as your code and work items — then analyze delivery without live API calls.
- Pipeline dashboards with success rate, duration trends, failure hotspots, and run activity heatmaps.
- Deployment frequency by environment, success rate, and delivery gap detection when merged PRs lack a successful deployment.
- Artifact links trace work items through pull requests, commits, pipeline runs, and deployments when your provider supplies them.
- Pipeline and deployment report types for stakeholders who want delivery metrics on a schedule.
Cursor and external AI, in context
Engineering teams increasingly rely on IDE AI tools alongside platform analytics. Connect a Cursor team to sync spend, token usage, and activity into the warehouse — kept separate from Engineering Analytics platform AI credits.
- Hourly Admin API sync or CSV import for Cursor team daily usage and spend.
- Map Cursor members to developers and teams via email for organization-wide rollups.
- Dev×repo attribution matrix correlates IDE AI activity with same-day commits — clearly labeled as inferred, not native Cursor data.
- Ask the AI assistant about Cursor agent usage, spend trends, and how IDE AI relates to delivery activity.
Dashboards for every audience
Move from a boardroom-level summary to a single repository in a few clicks. Every view shares the same date range, repository, and team filters so the story stays consistent.
- Executive — organization-wide activity, trends, and KPIs for leadership.
- Engineering & teams — contribution, workload, and team comparisons over time.
- Repositories & vendors — ownership, activity, and vendor-team contribution.
- Pull requests & work item flow — review health, throughput, kick-backs, and delivery flow.
- Pipelines & deployments — CI/CD reliability, deployment frequency, and delivery gaps.
- External AI — Cursor spend, activity trends, and dev×repo attribution alongside code metrics.
AI you can trust
The AI assistant answers questions in plain language and stays grounded in your imported analytics — it won’t invent repositories, teams, or numbers that aren’t there.
- Scoped to your currently selected organization and a configurable analytics window.
- Administrators control named-developer questions and comparisons per organization.
- Transparent token metering with monthly credits and clear usage limits.
- Optional AI executive summaries attached to scheduled reports.
- Scoped answers about Cursor usage, pipeline reliability, and delivery flow — not just commits and pull requests.
Reporting that runs itself
Package the metrics that matter into polished exports for stakeholders who don’t log in.
- Executive, team, repository, vendor, pull request, pipeline, and deployment report types.
- Export to HTML, CSV, Excel, or PDF for any workflow.
- On-demand generation or recurring subscriptions delivered by email.
Built for organizations, secured by design
Every tenant is isolated with role-based access, so administrators and viewers see exactly what they should.
- Organization-scoped tenants with Administrator and Viewer roles.
- Developer and team mapping with effective dates for accurate historical attribution.
- Sign in with Microsoft, GitHub, Google, or email — with encrypted credentials at rest.
- Fast, predictable analytics that stay responsive without hammering your Azure or GitHub APIs.
Simple, transparent pricing
Start free and upgrade when you need unlimited scale and automation.
Free
Everything you need to start measuring engineering activity.
- All dashboard views — executive, teams, repositories, vendors, and pull requests
- AI assistant for natural-language analytics
- Activity heatmaps, work item flow, pipeline, and deployment metrics
- Azure DevOps Pipelines, GitHub Actions, and release deployment import
- Optional Cursor team sync for external IDE AI usage
- Developer and team mapping with role-based access
- Up to 3 repositories
- 90 days of history retention
- Dashboards up to Last 90 days
- Import history: Last 90 days
- 150,000 AI tokens / month
- Exports: HTML, CSV
- Scheduled report subscriptions
- Daily AI insights
Professional
Most popularBilled per connected organization
Unlimited scale, automation, and your full analytics history.
- All dashboard views — executive, teams, repositories, vendors, and pull requests
- AI assistant for natural-language analytics
- Activity heatmaps, work item flow, pipeline, and deployment metrics
- Azure DevOps Pipelines, GitHub Actions, and release deployment import
- Optional Cursor team sync for external IDE AI usage
- Developer and team mapping with role-based access
- Unlimited repositories
- Full history retention
- Dashboards up to Everything
- Import your full history
- 1,000,000 AI tokens / month
- Exports: HTML, CSV, Excel, PDF
- Scheduled report subscriptions
- Daily AI insights
Need more AI capacity? Add token packs of 1,000,000 tokens anytime. Plans and limits stay in sync with your subscription automatically.
Ready to see your engineering activity clearly?
Create an organization, connect Azure DevOps or GitHub, optionally link Cursor, and start measuring delivery activity in minutes.