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GitKraken Insights

Start Measuring. Stop Guessing.

Full SDLC visibility into code velocity & quality, as well as ✨ AI impact, with the contextual insights your team actually wants you to see.

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Trusted by 40M+ Developers & 100K Organizations Worldwide

Metrics Alone Don't Tell the Whole Story

Sprint velocity is up, but your team feels slower. DORA metrics look good, but developers are burning out.

AI is enabling individual developers, but launch dates keep slipping. Measure outputs, not outcomes.

Missing the Why

Traditional metrics show what happened, not why. When velocity drops, you’re left guessing about root causes.

AI Productivity Paradox

You invested in AI and developers feel productive, but delivery times haven’t improved and bug rates are climbing.

Invisible Capacity Drains

Context switching, technical debt, tool sprawl: they don’t show up in sprint reports but cost you weeks of capacity.

Complete Engineering Intelligence, Not Just Analytics

GitKraken Insights connects the dots between developer experience and delivery performance. 

  • DORA metrics with developer satisfaction context
  • AI tool impact measurement and optimization
  • Technical debt and velocity correlation analysis
  • Proactive alerts when team health degrades
  • Industry benchmarking and goal tracking
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Complete DORA Intelligence in Context

See all four DORA metrics with the trend context that matters for decision-making. Track deployment frequency, lead time, and failure rates over time to identify patterns traditional point-in-time metrics miss. When lead time spikes from 1.4 to 6.7 days, the trend lines show whether it’s a temporary issue or an emerging pattern requiring intervention. Real intelligence, not just snapshot reporting.

Beyond Deployment Counts: See Repository Health Patterns

Don’t just track how often you deploy. Understand deployment distribution across your codebase. This view reveals which repositories are deployment bottlenecks, identifies teams that might need support, and shows velocity patterns that indicate technical debt or process issues. When vscode-gitlens shows 47 deployments while gk-cli shows zero, you immediately see where to focus optimization efforts.

Identify Velocity Blockers Hidden in Your Development Process

Transform PR cycle time from a single number into actionable intelligence. See which pull requests are outliers (like that 52-day PR from handydev), identify patterns in fast vs. slow reviews, and spot bottlenecks before they impact delivery. The scatter plot reveals whether slow PRs are one-offs or systematic issues – intelligence that helps you optimize review processes and identify developer support needs.

Everything You Need in One Platform

15-Minute Setup:

No complex integrations – your GitKraken data flows automatically​

DORA Metrics:

Change lead time, deployment frequency, mean time to recover​

PR Intelligence:

Cycle time, pickup time, reviewer workload distribution​

AI Impact Measurement:

Before/after metrics showing AI coding tool effectiveness

Team Velocity Insights:

Delivery consistency, developer experience ratings​

Self-Serve:

Engineering leaders can set up and customize without IT involvement​​

Smart Alerts:

Proactive custom notifications alerting you when metrics need attention​

ROI Ready:

Don’t get blindsided by your CFO when planning seasons comes

Built for Engineering Leaders Who Want Results

Stop flying blind. Start making data-driven decisions that actually improve team performance and business outcomes.

Identify Velocity
Blockers

Connect developer satisfaction drops with delivery slowdowns. When burnout starts affecting performance, you’ll know immediately, not after the sprint fails.

Prove AI Tool
ROI

Measure the productivity impact of Copilot, Cursor, and other AI tools. Track code quality, review time, and developer satisfaction to optimize your AI spend.

Executive-Ready
Reporting

Industry benchmarking and business impact metrics that translate engineering performance into language leadership understands and values.

Developer-Trusted
Platform

Your team actually wants these insights. Built by developers for developers. No surveillance, just intelligence that helps teams improve.

The Hidden Cost of Engineering Inefficiency

Every productivity blocker costs more than you think. Teams lose 5-15 hours per week to invisible friction – that’s $50K+ per developer annually.

23%

Developer time lost to technical debt

19%

Slower delivery with poorly implemented AI

23 min

Time to rebuild focus after interruption

30%

Of development capacity lost to inefficiency

Ready to See What's Really Happening?

Get personalized insights from your actual development data. No lengthy implementation, no complex setup, just intelligence you can act on immediately.

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