Computed, not guessed.

DORA Metrics, without the manual work

Deployment frequency, lead time for changes, mean time to restore and change failure rate — recalculated automatically from what's already synced from GitHub, GitHub Actions, ArgoCD, Vercel, Azure Pipelines, Waroom and incident.io. Connect more than one CI/CD tool for the same team (say, GitHub Actions and Vercel) and moasy.tech catches the risk of double-counting the same deploy on its own, instead of showing a number that might be wrong. What counts as an incident — and whether it counts as a failure — follows the same team-configurable rules described below, with a company-wide default as fallback. Filter by date range or by team, with a trend line next to every number — and a timeline of manual events and config changes right alongside it, so a dip always has a nearby explanation. Click any number to drill into the individual deploys, PRs or incidents behind it.

Flow Metrics per team, category by category

How much got done each week, and how long each category of work takes from start to finish — Bug, Feature, Technical Debt, Toil and Risk, classified by rules you configure yourself. Set a default at the company level, then let each team override it — what counts as Toil for one team can be a Feature for another, and the system adapts instead of forcing one definition on everyone. See the team improving (or not) week over week, not just a snapshot of today. Break the same categories down further by epic — Team → Project → Epic → Item — to see which initiative is actually eating the Toil. Backlog health adds two more numbers: how much of the backlog has gone stale, and how many weeks it represents at your current pace. Click any number to drill into the individual work items behind it.

Connects to what your team already uses

Nothing to migrate: every integration just reads what already exists in your tools. A single provider can have several integrations — two Jira boards, one per team, for example — and each one shows a run history, so you know exactly when it last synced. Azure DevOps is three independent connectors (Boards, Repos, Pipelines), so you only connect the parts your team actually uses. If a sync goes stale or a credential needs reconnecting, you get an in-app alert right away — you don't find out three weeks later that a dashboard's been running on old data.

• Jira
• Linear
• GitHub
• GitHub Actions
• Azure DevOps
• Vercel
• ArgoCD
• Waroom
• incident.io

Capacity and toil, not just velocity

Every team profile pairs its roster and monthly capacity with a toil ratio — hours logged as Toil against the capacity available that month, not just a headcount. Drill down further and see the same breakdown per contributor: work items completed by category, pull requests merged and reviewed, deploys triggered (with success rate) and incidents handled — for one person, across every team they touch, not just their primary team. Every number comes with a week-by-week trend, so you see whether the load is easing or piling up, not just where it stands today.