Facts first
Every insight starts with objective measurements from your code and CI — numbers your senior engineers could reproduce. AI helps interpret; it never invents.
How it works
Your engineering org
Your engineering org
already tells the story.
We help you hear it.
GDash reads the evidence your teams already produce — code changes, review conversations, rework, CI results, and ownership — and turns it into conclusions you can act on. No new workflows. No behavior change required.
The flow
Five steps from activity to action.
You see conclusions and health status on day one. The investigation happens behind the scenes, continuously, so problems surface while there is still time to address them.
1
Connect your Git platform
A read-only connection to GitHub or GitLab. Your team keeps working exactly as they do today. Setup takes minutes, not months.
2
We build your evidence graph
Every pull request, review comment, rework cycle, and CI result becomes part of a connected picture of how your engineering organization actually operates.
3
Signals surface what changed
Material shifts in rework, review burden, architecture friction, and risk concentration are detected automatically — against your own baselines, not generic benchmarks.
4
Investigations verify the story
Each signal triggers a structured investigation that checks confounders, gathers evidence, and tests hypotheses. Claims that cannot be verified do not get published.
5
You get conclusions you can act on
Plain-English findings with confidence levels, executive health rollups, and one-click access to the PRs, comments, and trends behind every insight.
Trust by design
Built so you can defend every conclusion.
Verified before published
Hypotheses that lack sample size or fail statistical checks stay unpublished. You never see a confident-looking card built on thin evidence.
Calibrated to your org
Baselines and thresholds are tuned to what normal looks like inside your organization — not a generic industry average that misleads.
Getting started
Live in days, not quarters.
Connect your Git platform, map your teams, and GDash begins building your evidence graph immediately. First conclusions typically appear within the first week as baselines establish.
- Read-only GitHub or GitLab app — installed by your admin
- No workflow changes for developers or reviewers
- Your code and review data are never used to train models
- Tenant-isolated from day one
Onboarding progress
Day 3
Git connection
Done
Team mapping
Done
Baseline calibration
78%
First conclusions
4 open
Our commitment
GDash is not a developer-ranking or performance-management system. Team and product views are the default. Individual insight exists for coaching context only — always with sample size, confidence, and evidence. No global rank. No developer score. No compensation input. — GDash product principle