Stop guessing why delivery is slipping
Know whether a team is slow because of review backlog, post-review rework, CI friction, or work that keeps arriving half-designed. Get the explanation, not just the trend line.
GDash connects to GitHub or GitLab and analyzes the evidence your organization already creates. It does not add another metrics wall. It tells you what deserves attention — and why.
Same PR count. Same cycle time. Completely different engineering reality. GDash closes the gap between what your dashboards show and what your organization is experiencing.
Know whether a team is slow because of review backlog, post-review rework, CI friction, or work that keeps arriving half-designed. Get the explanation, not just the trend line.
See where change effort goes to rewriting after review, which causes drive the most churn, and whether the pattern is getting worse — so you can fix the process, not just push harder.
Catch expensive issues discovered too late, converging risk signals across teams, and architectural decay that throughput metrics never reveal.
Identify where critical judgment concentrates in one or two people, where delivery slows when they are unavailable, and where your organization has a bus-factor problem nobody is tracking.
Spot contributors absorbing disproportionate rescue work before burnout makes the problem obvious. Coaching context, not performance rankings.
Walk into board meetings and staff reviews with verified conclusions backed by PRs, review comments, and methodology — not anecdotes assembled the night before.
Cycle time ↑ 12%
Rework ↑ 31%
Architecture comments ↑ 47%
Now go figure out what that means.
Architecture readiness is becoming a delivery bottleneck in Payments.
Rework is rising because work reaches implementation before cross-service design decisions are settled. Two staff engineers are carrying most of the architecture judgment. Review capacity is not the constraint.
CTOs and VPs of Engineering at organizations with 50 to 1,000 engineers who already feel review bottlenecks, hidden senior-engineer load, quality uncertainty, or pressure to explain what is really happening inside engineering.
If you have ever stared at green dashboards while projects ran late, senior engineers were overloaded, and the real problems were buried inside code reviews nobody had time to read — this is for you.
Honest executive health across teams and projects, with the evidence to back every status.
Prioritized issues with clear implications, so you discuss solutions instead of debating whether a problem exists.
Contextual insight into review quality and author patterns — framed for development, never for ranking.
Longitudinal signal on where design debt is compounding, before it shows up as production incidents.