The AI Powered Engineering Intelligence Platform that tells you what to fix next
DXSignal turns data from GitHub, GitLab, Jira, Linear, and your CI/CD into clear, AI-powered insights across delivery, developer experience, and process, so engineering leaders can prioritize the right changes and prove impact without spreadsheet chaos.
Dashboard
Organization-wide delivery and team signals
DORA Performance Level
Based on industry benchmarks
Integrates with your favorite tools
GitHub
GitLab
Azure DevOps
Bitbucket
Jira
Linear
Jenkins
CircleCI
Buildkite
Vercel
PagerDuty
Sentry
incident.io
Datadog
SonarQube
Anthropic
GitHub Copilot
Cursor
OpenAI19 integrations and counting — see them all
The problems DXSignal was built to solve
These aren't edge cases. They're the default state for engineering leaders without the right signal.
"We don't know if we're getting faster or slower."
Velocity feels different every quarter but you have no objective baseline to point to — or defend.
Real-time DORA Metrics
Continuous, objective velocity baseline across all your teams. No spreadsheets, no gut feel.
"We spent serious money on AI coding tools. I need to show the ROI."
Your CFO is asking. Your engineers say it helps. But you have no data to back it up — or challenge it.
AI Impact Measurement
Statistically isolates the effect of AI tools on output, lead time, and failure rate — by team.
"I find out about delivery problems when it's already too late."
A team has been shipping half as often for six weeks. You noticed when a deadline slipped.
Smart Recommendations + Anomaly Detection
Flags declining patterns weeks before they surface in a missed deadline or a stakeholder complaint.
"Engineering is a black box to the rest of the business."
Product, finance, and the board ask what engineering is doing. Your answer is a spreadsheet and a prayer.
The Monday Memo
Auto-generated exec summary of engineering health delivered every Monday morning.
"We do postmortems. We write action items. Nothing changes."
Three months later, the same class of incident happens again — because the pattern was never visible across the data.
AI Incident Post-Mortems
Surfaces patterns across incidents — not just the latest one — so action items actually stick.
Why this matters to engineering leaders
This isn't opinion. Google's DORA research and ACM have measured what engineering visibility is actually worth.
Higher Profitability
Elite performers are 2.5x more likely to exceed profitability, market share, and productivity goals
Better Retention
Organizations with good DevEx see 50% lower turnover rates and higher employee satisfaction
Faster Delivery
Elite teams deploy 973x more frequently than low performers while maintaining stability
From gut feel to ground truth
DXSignal gives you the same metrics used by elite engineering organizations to identify bottlenecks, justify tooling investments, and demonstrate team impact to leadership.
- Understand delivery signals that predict organizational performance
- Measure developer satisfaction with SPACE framework surveys
- Identify workflow friction before it causes attrition
- Justify engineering investments with concrete ROI data
Turn engineering data into decisions
Connect your stack in 5 minutes. Get signal from day one. See all features →
Real-time DORA Metrics
Deployment frequency, lead time, change failure rate, and MTTR — live, across all your teams. No spreadsheets.
Smart Recommendations
Trend indicators, performance benchmarking, and bottleneck detection. See exactly what to fix and how far you are from Elite tier.
19 Integrations
19 integrations: GitHub, GitLab, Azure DevOps, Bitbucket, Jira, Linear, CircleCI, Buildkite, Vercel, PagerDuty, Sentry, incident.io, SonarQube, and your AI tools. Connect once, sync automatically.
The Monday Memo
Every Monday: a plain-English memo on delivery health, what changed, and what to prioritize. Straight to your inbox.
AI Incident Post-Mortems
One click turns a resolved incident into a structured post-mortem — AI writes the root-cause narrative, impact, and action items, grounded in the deployments and PRs that likely caused it.
AI Impact Measurement
Statistically measures whether your AI coding tools are actually shipping faster — without hurting quality. Difference-in-differences, not vanity before/after.
Personal Engineering Profile
Every engineer gets a private view of their own work — contributions, flow, delivery, and focus-vs-meeting time from their calendar — with an AI-written snapshot of where they have momentum and what to focus on. Built for personal growth and better 1:1s, never for ranking people.
Engineering Health Check
A modernized Joel Test across CI/CD, observability, IaC, and modern DevOps. 12 areas, AI-powered recommendations for each.
Pull Request Health & Risk
Score every PR on size, review depth, and time-to-merge — and predict merge risk before it ships, so risky changes get a second look first.
SLOs & Error Budgets
Set objectives on availability, recovery time, and change failure rate. Error budgets tell you when to ship faster — and when to stabilize first.
AI Engineering Analyst
Ask anything in plain English — "why did lead time spike in May?" — and it investigates across your real deployment, PR, incident, review and SPACE data, charts the trend, and remembers the conversation for follow-ups.
Proactive AI Investigator
When a metric slips, the AI investigates on its own — pulling the data to form a root-cause hypothesis and a concrete suggested fix. From "what changed" to "what changed, why, and what to do."
Predictive Forecasting
See where your delivery is headed: projected DORA next week, how long your open-PR backlog will take to clear, and which PRs are most likely to slip — before they do.
AI for Managers
AI-drafted 1:1 prep and team retros, built from real work — wins to recognize and questions to ask. Designed for support and growth, never to rank people.
Recommendations
A prioritized, AI-written action list across delivery and reliability — with projected impact and a board-ready executive narrative that learns from what your team acts on.
DevEx Score & Benchmarking
One developer-experience score that trends up or down, DORA performance bands on every metric, and peer percentiles grounded in DORA industry research — so you always know exactly where you stand.
AI Adoption Score
Measure how well AI coding tools are landing — adoption, engagement, and the friction blocking wider use — alongside causal AI impact and per-tool ROI.
On the roadmap
See where your team actually stands
See where your team stands against DORA benchmarks and get a clear, AI-powered path to Elite performance
✓ Free forever plan • ✓ Setup in 5 minutes