What's New

Define objectives on availability, recovery time, change failure rate, or incident counts — computed from your real incidents and deployments. Error budgets show burn rate and projected exhaustion, and every budget ends in a ship-or-stabilize recommendation that connects reliability to delivery pace. Budget burn surfaces automatically in the Monday Memo.

Connect Linear with a personal API key to sync issues, cycles, and workflow states. Linear teams get the same flow analytics, cycle-time tracking, estimation accuracy, and Process Intelligence insights as Jira — cycles map to sprints automatically.

A weekly email that tells you what actually changed: computed week-over-week metric moves with the evidence behind every claim, follow-ups on last week's items, and an honest all-clear when nothing notable happened. Replaces the weekly briefing.

Every headline stat on the AI Impact page now clicks through to the exact pull requests or usage records it was computed from. Cost rows are labelled vendor-reported, estimated, or manual — an estimate is never dressed up as a vendor figure.

AI analysis now refuses to speak below an evidence floor (30 merged PRs) instead of generating generic prose. Thin-data organisations see a progress bar toward unlocking analysis, plus a data-health strip showing what every insight is based on.

Real-time push notifications delivered in-browser via Server-Sent Events. Deployment successes, failures, merged PRs, and incident updates now appear in the notification bell the moment they happen — no page refresh required.

Automated 5-step email sequence for new free-tier organisations — day 0, 3, 7, 14, and 30. Each email is personalised to where the team is in setup and surfaces the most relevant next action. Campaign stops automatically on upgrade.

Pull request detail and list views now surface time-to-first-review, time-to-approval, approval count, changes-requested count, and comment density — the full picture of review health beyond just cycle time.

Deployments page now shows average time from PR merge to production deploy, computed across the loaded deployment window. Identifies handoff friction between engineering and release pipelines.

Enterprise-tier organisations can now connect their identity provider via Auth0 B2B Essentials. Email-domain-based home realm discovery routes users to the correct IdP automatically at login. Supports SAML and OIDC providers.

Statistically measures whether AI coding tools are changing delivery outcomes for your team. Uses difference-in-differences analysis comparing adopting vs non-adopting teams across deployment frequency, lead time, and change failure rate.

A Joel Test-style self-assessment across 12 platform engineering dimensions: CI/CD maturity, observability, IaC coverage, on-call hygiene, deployment safety, and more. Each area gets an AI-generated recommendation with priority ranking.

Every PR now receives a 0–100 health score based on size, review depth, cycle time, and reviewer engagement. Scores surface directly in the PR list and detail views with a breakdown of contributing factors.

Every Monday morning, Professional and Enterprise organisations receive an AI-generated plain-English summary of engineering health: what changed week-over-week, which teams are trending down, and what to prioritise. Generated by Claude and delivered straight to your inbox.

One click turns a resolved incident into a structured post-mortem correlated with the deployments and PRs that caused it. The AI draft includes root cause analysis, timeline, and action items pre-populated from your data.

Deep Jira and Azure DevOps analytics beyond DORA: work item cycle time, flow efficiency, sprint velocity trends, estimation accuracy, and WIP visualisation. AI-powered recommendations flag the workflow bottlenecks costing the most time.

All background jobs (sync, metrics aggregation, anomaly detection, briefings) now run inside the web API process itself, eliminating the operational overhead of a separate worker service.

AI analyses DORA metrics daily, flags statistically unusual patterns, and emails owners and admins before a dip becomes a crisis. Detects deployment frequency drops, lead time spikes, and change failure rate increases.

Connect Datadog to correlate deployment events with service health monitors and SLO data. Incidents triggered by a failed deploy are automatically linked in the incident timeline.

A dedicated view shows last-sync timestamps, error counts, and connection status for every integration. Proactive alerts surface broken webhooks or expired tokens before they cause data gaps.

All inbound webhooks are now deduplicated by delivery ID. Duplicate deliveries from GitHub, GitLab, and Azure DevOps are safely ignored, preventing double-counted deployments and incidents.

Last-synced timestamps and manual refresh buttons added to all data pages so you always know how fresh your metrics are.

Connect PagerDuty to automatically track incidents and calculate MTTR. Incident timelines are correlated with nearby deployments so you can identify the culprit change at a glance.

Jenkins pipelines can now push deployment and build events to DXSignal via webhook. Supports multi-branch pipelines and custom job metadata.

Save your frequently used filter combinations for deployments, pull requests, and incidents. Set a default view and switch between saved filters with one click.

Full dark mode support across the app and marketing site with automatic persistence. Respects your system preference on first load.

Sync now fetches up to 500 items per repository with safety limits. Pagination is handled automatically across GitHub, GitLab, and Bitbucket so no deployments or PRs are silently dropped.

Users can belong to multiple organisations and switch between them from the navigation. Useful for consultants, contractors, and teams managing several product lines.

Owners and admins can invite team members via email with role-based access: Owner, Admin, Member, or Viewer.

Launched Free, Essentials, Professional, and Enterprise plans with Stripe billing. Subscription gates enforce per-tier feature access across the platform.

Choose exactly which repositories feed into your metrics. Uncheck noise (forks, archived repos, internal tooling) without losing the underlying connection.

DXSignal is now available to all engineering teams. Free plan, 5-minute setup.

Core dashboard displaying Deployment Frequency, Lead Time for Changes, Change Failure Rate, and Mean Time to Recovery with historical trending and DORA tier benchmarking.

All four major Git platforms supported at launch. Connect via OAuth or personal access token and get deployment frequency and PR metrics within minutes.

Create sub-teams and compare DORA performance across groups within your organisation. Identify which teams are Elite performers and which need support.

All inbound webhook payloads are verified against provider signatures (HMAC-SHA256) before processing. Unsigned or tampered payloads are rejected.

DXSignal opened to a small group of engineering leaders to validate core DORA metrics collection, integration reliability, and the onboarding flow.

First integration: GitHub repositories with deployment tracking via Actions and basic pull request metrics.

All integration tokens and OAuth credentials are encrypted at rest. Keys are stored separately from the database.