Delivery analytics // DORA + flow metrics

Engineering efficiency is no longer a black box.

Visualize DORA metrics, identify bottlenecks, and accelerate your development lifecycle with precision analytics built for high-growth teams.

Overview // Q3 Engineering

Platform Core Team

Last 7 Daysv1.4.2
Deployments (7d)
18

+28.6% vs previous 7d

successful only

Lead time for changes
6.4h

-18.2% vs previous 7d

PR merge → next deploy

Change failure rate
2.1%

beta, heuristic — 2/95 deploys

Cycle time (median)
14.5h

-12.4% vs previous 7d

p90: 28.8h

Cycle Time Breakdown

Recent Anomalies

Long PR Review Time

PR #1402 has been pending in 'Review' for 42 hours. Team average is 4.5h.

Deployment Spike

Peak frequency detected in 'API Gateway' service between 09:00 - 11:00.

Pipeline Optimized

Build times reduced by 14% following the transition to GitHub Actions caching.

0

Lines of your source code stored

40+

Delivery measures in the metrics registry

21

Built-in anomaly detection rules

2

Data sources: GitHub and Jira Cloud

Enterprise-grade insights for every stack

Integrate with GitHub and Jira Cloud in minutes. Our engine correlates pull requests, reviews, CI runs and issues into one view of team health.

  • Custom dashboards with drag-and-drop widgets
  • Ad-hoc query builder across 40+ delivery measures
  • Rule-based anomaly detection across 20+ signals
See all integrations →
Delivery pipeline visualization connecting commits, reviews and deploys

Built for the whole delivery org

For engineering leaders

Walk into planning with the bottleneck already identified, and leave with a change you can measure next sprint.

For platform teams

Prove that pipeline and tooling investments moved lead time — per service, not as a company-wide average.

For team leads

Catch review debt and oversized batches early, while the fix is still a conversation and not a postmortem.

See your own delivery data in it

Connect one repo and we'll backfill 90 days of history so you can compare before you commit.