Connect GitHub, PagerDuty, and Linear. Samix analyses PR review patterns, team capacity, service ownership, and code architecture to surface the structural constraints that slow down delivery. It tells you where to investigate and what to fix.
A 4-person platform team reviewing PRs for 5 other teams. A data engineering squad with 8 repos and 3 engineers. A shared library modified by everyone, owned by no one. These are structural problems — they don't show up in sprint velocity or JIRA burndowns. They show up in 38-hour review queues, 11 incidents a month, and engineers saying "we're drowning" in retros.
Most engineering dashboards track what individuals are doing. Samix tracks what the system is doing to them.
"Platform team is the sole reviewer for 8 repos. 73% of cross-team reviews funnel through a 4-person team."
Reviewer concentration, queue depth, avg wait time
"Data Eng owns 8 repos with 3 engineers. PR backlog grew 40% in 4 weeks. 67% ops ticket ratio."
Repos-per-engineer, backlog growth, ops ratio
"shared-lib modified by 5 teams in 30 days. 23 merge conflicts. 68% cross-team PR ratio."
Cross-team edits, merge conflicts, contributor count
"payment-gateway P90 review latency jumped from 16h to 72h. Correlated with PCI compliance work."
P90 latency delta, baseline comparison, PR volume
Metrics surface anomalies across connected data sources.
The engine identifies likely structural causes.
Each finding gets an owner, type, and follow-up window.
Teams act on findings. The system tracks progress.
After 2-4 weeks, evaluate whether the metric improved.
PRs, reviews, CODEOWNERS, file trees
Teams, latency, bottlenecks, dependency graph
Incidents, services, on-call schedules
Incident load, alert volume, on-call hours
Issues, teams, cycles
Ops ratio, work allocation, backlog depth
AWS Cost Explorer, GCP Billing
Monthly spend, AI cost, cloud breakdown
Service-team-tier mappings
Ownership, capacity, sprawl metrics
Surveys, retros, interviews (CSV)
Qualitative sentiment, team signals
Sign up and explore a fully loaded demo dashboard with 6 teams, 14 services, and pre-detected bottlenecks. Then connect your own repos.