DXSignal
⚡ Every signal your engineering org needs

See what's shipping, what's slowing you down, and whether your AI investment is working

From DORA metrics to AI-powered briefings to PR health — every signal your engineering team needs, connected and working in 5 minutes.

12.5
per day
4.2h
avg time
2.1%
failure
38m
recovery
Live data • Updated every 5 seconds
Real-time Monitoring

Real-time delivery intelligence

Track deployment frequency, lead time for changes, change failure rate, and mean time to recovery in real-time. No more waiting for weekly reports—see your metrics update as deployments happen.

  • Automatic data collection via webhooks
  • Zero manual data entry required
  • Historical trends and comparisons
  • Custom date range analysis
Seamless Integration

Connect your entire toolchain

Works with GitHub, GitLab, Azure DevOps, Bitbucket, Jira, Linear, Jenkins, CircleCI, Buildkite, Vercel, PagerDuty, Sentry, incident.io, Datadog, Pingdom, Better Stack, UptimeRobot, and SonarQube — plus Anthropic, Copilot, Cursor, and OpenAI for AI usage. Automatically sync pull requests, builds, deployments, and incidents from multiple repositories without touching your existing workflows.More integrations coming soon

GitHub
GitHub
Pull requests, Actions, releases
GitLab
GitLab
Merge requests, CI/CD pipelines
Azure DevOps
Azure DevOps
Pipelines, work items, repos
Bitbucket
Bitbucket
Repositories, pipelines
Jira
Jira
Work items & process intelligence
Linear
Linear
Issues, cycles & flow analytics
Jenkins
Jenkins
Build jobs, deployments
CircleCI
CircleCI
Pipelines, build metrics
Buildkite
Buildkite
Builds, wait time, success rate
Vercel
Vercel
Production deployments
PagerDuty
PagerDuty
Incident management
Sentry
Sentry
Errors as incident signal
incident.io
incident.io
Incident management
Datadog
Datadog
Monitoring & observability
Pingdom
Pingdom
Uptime outages → CFR & MTTR
Better Stack
Better Stack
Uptime outages → CFR & MTTR
UptimeRobot
UptimeRobot
Uptime outages → CFR & MTTR
SonarQube
SonarQube
Code quality trends
GitHub Action
GitHub Action
Deploy marker + PR risk comment — coming soon
✓
Webhooks configured
Data syncing automatically
25+ repositories connected
Frontend Team↑ 12%
Deploys
15
Lead Time
4h
Failure
2%
MTTR
30m
Backend Team↑ 15%
Deploys
12
Lead Time
5h
Failure
3%
MTTR
40m
Infrastructure↑ 18%
Deploys
9
Lead Time
6h
Failure
4%
MTTR
50m
Team Intelligence

Multi-team visibility that scales

Group repositories by team and track performance at every level. Compare teams, set goals, identify top performers, and share insights with stakeholders through beautiful dashboards and automated reports.

  • Team-based metric aggregation
  • Cross-team performance comparisons
  • PDF report generation & scheduling
  • Metric goals & target tracking
  • Individual repository drill-down
  • Custom team hierarchies
Deployment Frequency↑ 23% vs prev period
2.5/day
LowMedHighElite
Lead Time Recommendation

It takes 18.5 hours from commit to production

  • • Set SLAs for code review response times
  • • Optimize CI/CD pipeline build times
🔍 Slowest Repository
backend-api
24.3 hours
avg cycle time
🎯 Smart Analysis

Actionable insights that tell you exactly what to fix

Don't just see the numbers—understand what they mean and what to do about them. Get automatic trend analysis, performance benchmarking, and bottleneck detection on every metric.Available on all plans.

  • DevEx Score
    A single developer-experience score blending DORA delivery, SPACE satisfaction, and flow — trending up or down vs the prior period, with the drivers behind every move
  • Trend Indicators
    See if you're improving or regressing vs previous period
  • Performance Bands
    Every DORA metric placed in its Elite / High / Medium / Low band, with the gap to the next tier
  • Peer Benchmarking
    Percentiles against peer teams of similar size, grounded in DORA industry research so you always have a meaningful comparison. Peer cohorts stay anonymous behind a k-anonymity floor; no individual team is identifiable
  • Tags
    Tag deployments, PRs, incidents, commits, repos, and branches, then filter and segment your metrics by tag
  • Smart Recommendations
    Specific, contextual actions to improve each metric
  • Bottleneck Detection
    Pinpoints where the PR lifecycle stalls — wait-for-review, review, or merge — and flags when AI throughput shifts the constraint to review
  • Build Performance
    CI queue wait, build duration, volume, and success rate across Jenkins, CircleCI, and Buildkite — the feedback loop your engineers feel every day
  • Code Quality Trends
    Maintainability, tech debt, and duplication trends from your SonarQube scans — the degradation your per-PR gate can't see
  • Gap Analysis
    Shows exactly what you need to reach the next performance tier
Always Available
Unlike AI insights that require credits, these smart recommendations work on every plan—even free.
LIVE ANALYSIS · Powered by Claude
🎯
Change Failure Rate — Needs Attention

Implement automated testing coverage to reduce CFR from 22% to Elite level.

ANOMALY DETECTED · 2 hours ago

Lead time up 38% this week. CI builds over 12 minutes are the likely culprit.

Business & Enterprise
✨ AI Intelligence Layer

Plain-English insight on every metric, automatically

DXSignal uses Claude by Anthropic to turn your delivery data into clear explanations, specific next steps, and automatic anomaly alerts — no analyst required.

  • AI insights on every metric
    Plain-English explanations that celebrate Elite performance and surface improvement paths
  • Ask your data
    Ask questions in plain English — "why did lead time spike in May?" — and get answers computed from your real metrics
  • What to fix next
    A prioritized, AI-written action list with projected impact and a board-ready executive narrative
  • Anomaly detection
    Seasonal, statistical comparison against your historical trends — so a normal Friday dip never triggers a false alarm
  • Pattern recognition
    Flags risky behaviors like Friday deployments and sudden lead time spikes
  • Context-aware recommendations
    Specific, actionable next steps for each metric — not generic DORA advice
Available on all paid plans
AI dashboard insights start on Essentials. AI health-check analysis and anomaly detection are on Professional and Enterprise.
NEW - AI Engineering Analyst

Talk to your engineering org

Ask anything in plain English. The Analyst is a real agent — it decides which of your metrics to pull, chains queries to explain why something changed, charts the trend, and remembers the conversation so you can keep digging. Every number comes from your live data; nothing is invented.

  • Investigates, not just reports
    Chains tools across deployments, PRs, reviews, incidents and SPACE to get to a root cause
  • Charts on demand
    Ask for a trend and it renders the weekly series inline
  • Remembers context
    Follow up with "and the week before?" — it keeps the thread
  • Grounded and safe
    Read-only, scoped to your org, answers computed from real data only
Available on Professional and Enterprise plans
Pairs with proactive investigations and predictive forecasts in your AI Insights workspace.
Why did lead time spike last week?
Lead time rose 38% (4.1h → 5.7h). I checked the trend and review responsiveness — 3 PRs waited >2 days for a first review after Tuesday's CI change.
And the week before?
Monday morning • from DXSignal
Your Weekly Engineering Briefing
Lead Time for Changes — up 38%

Your avg lead time jumped from 4.1h to 5.7h this week. Look at your CI pipeline — builds over 12 minutes are the likely culprit.

Deployment Frequency — up 22%

Strong week — 3.1 deploys/day vs 2.5 last week. Your release automation changes are paying off.

Change Failure Rate — up 15%

CFR ticked up to 4.8%. Consider adding a staging environment gate before production merges.

AI-written • 3 signals this weekEssentials & up
NEW - Weekly AI Briefing

Your Monday briefing, written by AI

Every Monday morning, DXSignal reviews the past week across all your connected tools — GitHub, GitLab, Azure DevOps, Jira, PagerDuty, and more — and sends a plain-English summary of what changed and what to look at. No dashboards, no logins required. Just signal, written for humans.

  • Works with all your connected tools
    Pulls signals from GitHub, GitLab, Azure DevOps, Jira, PagerDuty, Datadog, and more
  • AI-written plain English
    Claude analyzes anomalies and writes briefing items your team can actually act on
  • Max 4 signals per briefing
    Ruthlessly prioritised by severity — only what actually changed this week
  • Deduped with daily alerts
    Already alerted you this week? It won't repeat it in the briefing
  • One-click unsubscribe
    Every email includes an unsubscribe link — no account login required
Available on Professional and Enterprise plans
Delivered every Monday at 8 AM UTC. Requires at least 2 weeks of connected data for a first briefing.
NEW - Personal Engineering Profile

Insight for every engineer, not just leaders

Most engineering tools only talk to managers. DXSignal gives every engineer a private profile of their own work — what they shipped, how their flow looks, and an AI-written snapshot of where they have momentum and what they might focus on next. It's built for personal growth and better 1:1s — never to rank or monitor people.

  • Your contributions, in one place
    Commits, pull requests, reviews and comments — attributed to the git identities you claim
  • Flow & effectiveness
    Cycle time, time-to-first-review, review responsiveness and rework — read as direction, not a score
  • Personal delivery view
    Your own deployment cadence, lead time and change-failure signal — a reflection tool, since DORA is a team metric
  • Focus vs meeting time
    Connect Google or Outlook calendar to see how your week splits between meetings and protected maker time. Read-only — we store weekly totals only, never event details
  • AI-written personal snapshot
    A short, encouraging summary of your period — generated only from your real numbers
  • Private by default
    You see yourself; managers can see their own team. Built on claimed, verifiable git identities
Profiles for everyone; AI snapshot on Professional and Enterprise
Individual metrics are designed for reflection and coaching, not performance ranking.
A
My Profile
Senior Engineer • last 90 days
AI overview

You shipped steadily this period — 42 PRs merged and a strong review habit. Your cycle time held under a day; PRs are trending larger, so smaller batches could keep merges fast.

0.8d
Cycle time
63
Reviews given
4.2
Deploys / wk
Private to you • self & managersGrowth, not ranking
NEW - AI Impact Measurement

Is your AI investment actually working?

You're paying for Copilot, Cursor, and Claude Code. DXSignal tells you whether it's paying off. We auto-detect AI-authored work across your pull requests — no manual tracking — and compare it against the rest of your delivery on both speed and code quality.

  • Auto-detected from commit history
    Finds AI co-authorship from Claude Code, the Copilot agent, Cursor, and aider — no spreadsheets, and it works on your existing history
  • AI Adoption Score
    A composite of AI-assisted work, team coverage, and engagement (acceptance + seat utilization), with a maturity stage and the friction points blocking wider adoption
  • Velocity AND quality, side by side
    AI-attributed PRs vs the rest: cycle time, PR health score, and rework rate — so faster never quietly means worse
  • Difference-in-differences
    For tagged teams, your DORA change is measured against non-adopting teams over the same window — isolating the AI effect from everything else going on
  • Tool rationalization
    Per-tool cost against acceptance and active seats — see which of your AI tools is earning its seat and which to consolidate
  • Growth vs keep-the-lights-on
    Where reclaimed capacity actually goes — is AI funding new value, or being absorbed by maintenance?
  • The quality counterweight
    With SonarQube connected, compare tech-debt and duplication trends on AI-heavy projects vs the rest — is AI code quietly rotting your codebase?
  • Honest by design
    We show association, not proof, and label detection as a floor — credible enough to put in front of your VP of Engineering
Available on Professional and Enterprise plans
Works on your existing commit history — no waiting for new data to start measuring.
Last 90 days • auto-detected
AI-attributed delivery & quality
38%of 142 merged PRs show AI co-authorship
Cycle time11h vs 26h−58% · better
PR health score82 vs 79+3.8% · better
Rework rate12% vs 19%−37% · better
Association, not proofBusiness & Enterprise
NEW - Platform Health Check

A Joel Test for your platform team

Nobody measures platform teams. DORA tells you how the product teams deliver and says nothing about whether your platform is fast, self-service, and low-toil. The Platform Health Check is the platform team's version of the Joel Test: twelve simple yes/no markers of modern platform engineering, scored, with your toil and friction ranked.

  • Twelve markers that actually matter
    One-run environments, golden paths, golden images, self-service, IaC, deployment friction, on-call load, platform observability, and more
  • Your friction, ranked
    Every "no" is a concrete source of toil for your team and the developers you serve — the list is your map of where to invest
  • AI analysis of your gaps
    On Professional and up, Claude turns your answers into a short, direct read a platform leader can take to the business
  • Honest by design
    A self-assessment, openly a self-assessment — a starting point and a conversation, not a measured audit dressed up as proof
Available on the Essentials plan and up
Score it, track it over time, and watch your platform maturity climb.
Platform Health Check
8/12
Where your friction is
✕ One-run environments
✕ Self-service without a ticket
✕ Golden images
✕ Platform observability
Self-assessmentTeam & up

Post-Mortem Report

CRITICAL
Timeline
Detected → Acknowledged → Resolved
Root Cause
Database connection pool exhaustion
Related Deployments
2 deployments identified
📝 Learn from Incidents

One-click incident post-mortems

Turn a resolved incident into a structured post-mortem with one click. DXSignal correlates the incident with recent deployments and pull requests, and AI drafts the timeline, root cause, and action items for your review.

  • Auto-generated timeline of events
  • Related deployments & PRs detection
  • Root cause analysis templates
  • Action items & preventive measures
  • Share reports with stakeholders
Available on Professional and Enterprise plans
Incident post-mortems and AI-powered root cause analysis are available on Professional and Enterprise plans.
🎯 Quality Insights

Pull request health scoring

Get instant visibility into PR quality with automated health scores (A-F). Identify problematic pull requests before they slow down your team or introduce bugs.

  • Size Analysis
    Smaller PRs get higher scores
  • Cycle Time
    Faster merges indicate better flow
  • Review Time
    Quick reviews show team engagement
  • Title Quality
    Conventional commits & ticket refs
Available on all paid plans
PR health scoring and A–F grade analysis are available on Essentials, Professional, and Enterprise.
feat: Add user auth
A 95
2 commits
Update dashboard UI
B 82
5 commits
Refactor entire codebase
D 55
23 commits

Engineering Health Check

9/12
Protected branches with code review?Yes
CI/CD with automated deployments?Yes
Automated tests with >70% coverage?Yes
Production monitoring and alerting?Yes
Track and prioritize technical debt?No
Feature flags for controlled rollouts?Yes
+2 since last assessment
🎯 Best Practices

Engineering health beyond spreadsheets

Based on Joel Spolsky's famous test but modernized with CI/CD, observability, and platform engineering practices. Assess your team's engineering culture with 12 essential questions and track improvements over time.

  • 12 essential engineering practice questions
  • Detailed explanations for each practice
  • Why it matters and how to improve
  • Track health score trends over time
  • Version history with score comparisons
  • Owner/Admin can create assessments
🔔 Stay Informed

Slack & Microsoft Teams notifications

Get real-time alerts in your team's communication channels. Never miss a critical deployment or incident—stay informed where your team already works.

  • Deployment status notifications
  • Incident alerts with severity levels
  • Pull request activity updates
  • Metric threshold alerts
  • Configurable notification preferences
  • Beautiful formatted messages
Available on all paid plans
Slack and Microsoft Teams notifications are available on Essentials, Professional, and Enterprise.
SL
Slack
MS
Teams
✅ Deployment Success
backend-api deployed to production
🔴 Critical Incident
API Response Time Degraded
📝 Pull Request Merged
feat: Add authentication system

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