Teams
Everyone answering for delivery is asked something different.
A CTO is asked where the money went. A QA lead is asked why testing is slow. A support leader is asked when the fix ships. Those are the same underlying data and four different questions — so Pacia frames it four different ways rather than handing everyone the same dashboard.
Engineering leadership
CTOs & VPs of Engineering
Give your board evidence, not anecdote. Pacia shows where engineering capacity went, what is at risk this quarter, and whether your AI tooling spend is returning anything — with every figure traceable to the work.
Heads of Development
See delivery health across every team on one set of definitions — review bottlenecks, cycle time by stage, working agreement compliance and what is about to slip — plus contributor boards one level down.
Engineering Managers
See which pull requests are stuck, which sprint items will not land, and where your team’s review load is concentrated. Built for the weekly reality of running one team, not for scoring people.
Executives & Boards
Understand engineering investment, delivery predictability and AI spend without a technical background — and without asking engineering to build another deck. Unlimited free viewer access.
Delivery, quality and the people doing the work
QA & Test Leads
See the QA pipeline, regression load and escaped defects in the same platform as delivery and DORA — using your own Jira site’s vocabulary for defect types, link types and resolutions, discovered rather than guessed.
Product & Delivery
Epic and sprint forecasts built from a team’s own history, with scope growth measured against total scope and dormant epics excluded. An honest answer to "is this shipping this quarter".
Customer Support Leaders
See where reported defects sit in the engineering queue, how long fixes take to reach production, and how often changes break something — so you can answer customers with a date rather than a promise to chase.
Developers
Pacia does report contribution per person — and every figure opens to the pull requests behind it, so you can inspect it. Plus your own work queue and delivery context in your editor over MCP.
One delivery model, several different decisions
Repository, Jira, AI-tool and survey data is normalised once. Each role sees the slice that answers its question without creating a second definition of delivery.
How Pacia is wired to what you already run
Read, never written to
- GitHub, GitLab, Azure DevOps, BitbucketPull requests, reviews, merges, checks
- JiraSprints, epics, changelogs, QA stages
- Copilot, Cursor, Claude CodeSeats, usage, acceptance, cost
- Your teamPulse survey responses
What you get
- DORA & cycle timeBanded, trended, split by stage
- Delivery forecastsSprint and epic, with confidence
- QA & qualityPipeline, regressions, escaped defects
- Performance boardsContributor and team, drill-down on every rank
- Investment & AI impactWhere effort and spend actually went
What every role gets
- £0
- for anyone who does not write codeQA, product, delivery, finance and leadership are unlimited free viewers
- 180 days
- of history on day oneBackfilled the moment a repository connects
- 1
- set of definitionsSprints, epics and QA share one vocabulary, so no role needs a translation layer
- 8
- role-specific viewsSame data, framed for the question actually being asked
Start with whichever question you are being asked
Connect one repository and the answers are populated from your own history in about half an hour.