See every unit's progress before the dean asks
For deans, vice deans and quality leads who spend the week before every council collecting status updates from each unit. We bring activity, survey, LMS and service desk data into one Power BI or Looker Studio dashboard, with a short written brief that explains what changed and what needs attention.
- Timeline
- 3 to 4 weeks to first version
- Best for
- Deanships and colleges with five or more units reporting upward
- Usually starts with
- Plan progress and 5 to 8 agreed KPIs from data you already collect
Agent flow
What is an AI unit performance dashboard?
It is a live dashboard that shows how each university unit is doing against its plan and its KPIs. It combines activity progress, overdue items and indicators such as on-time course reports, workshop attendance or ticket resolution times, taken from the systems where that data already lives. AI adds a plain-language brief on what moved, while targets, interpretation and any follow-up stay with the people who lead the units.
- Built in Power BI or Looker Studio, inside your own tenant
- KPI definitions and targets come from your plan, not ours
- Each person sees only the units and data their role allows
- The AI brief is reviewed by a named person before it reaches a council
Typical Unit performance dashboard we ship
Each one scoped and quoted at a fixed price after a free review of your process.
Plan progress by unit
Each unit's operating plan appears as progress against time: activities completed, in progress, not started and overdue. A dean can open any unit to see the activities behind the figures and who owns them.
Overdue and at-risk activities
Activities past their deadline, or close to it with no recent update, appear in one list with owner and days late. The list is sorted by effect on the plan, so council discussion starts with what matters most.
Unit-level KPIs with written definitions
Indicators such as on-time course reports, workshop attendance, survey response rates or time to resolve IT tickets are calculated the same way every time, from a definition your quality unit agreed.
Plain-language weekly brief
AI writes a short summary for the dean or vice dean: which units improved, which slipped, which KPIs left their target range and what data is missing. A named reviewer checks it before it goes further.
Trends across semesters
Because figures are stored by term, the dashboard shows whether a unit is improving across semesters and years. That is what annual reviews and self-studies ask for, rather than a single snapshot.
Dated snapshots for reports
At the end of each term, the dashboard saves a dated copy of every KPI with its source data. Institutional reports can cite those figures, and anyone can trace a number back to where it came from.
What changes for your team
Before each council, a coordinator emails every unit for updates and merges the replies by hand.
The dashboard is current every morning, so the council pack starts from live figures.
Two reports show different values for the same KPI because each was calculated another way.
Every KPI uses one written definition and one data source, visible from the dashboard.
Overdue work comes to light at the end of term, when it is too late to recover.
Late and at-risk activities show up within a day of slipping, while there is still time to act.
Four steps, one fixed price
- 01
Agree the KPIs
We sit with the dean's office and the quality unit to choose a small set of unit-level KPIs, write the definition and target for each, and note where the data comes from.
- 02
Connect the sources
We connect activity trackers, Moodle, Canvas or Blackboard reports, survey tools, the service desk and, where needed, extracts from Ellucian Banner or PeopleSoft.
- 03
Build and test the views
We build the dashboard in Power BI or Looker Studio, check each figure against a manual count with your team and set role-based access before wider sharing.
- 04
Add the brief and hand over
The weekly AI brief goes live with a reviewer in place, and your team receives documentation for every KPI, admin access and training on changing the views.
What a unit performance dashboard should show
A useful dashboard answers three questions for a dean or vice dean: is each unit doing what its plan said, what is late, and are the indicators we report moving the right way. Many university dashboards answer none of these well, because they were built around what was easy to export rather than what leaders need to decide. The result is a wall of charts that nobody opens until a report is due, and a scramble for figures the week before every council.
We start from the decisions, not the data. If the college council reviews unit progress monthly, the dashboard leads with plan progress and overdue activities by unit. If the quality committee tracks KPIs against targets, those come next, each with its definition one click away. The dashboard measures units, not individual faculty members. Person-level detail, such as which course reports are still missing, sits behind role-based access for the staff who follow it up, and nothing on screen rates anyone's performance.
Pulling data from Moodle, Banner, SharePoint and surveys
Unit data is scattered by nature. Activity status lives in a SharePoint list or a spreadsheet, course and LMS use sit in Moodle, Canvas, Blackboard or D2L Brightspace, student records sit in Ellucian Banner or Oracle PeopleSoft Campus Solutions, satisfaction comes from Microsoft Forms or Qualtrics, and support tickets live in Jira Service Management, Freshservice or ServiceNow. We connect the sources your KPIs actually need and leave the rest alone.
Connections use official exports, reports and APIs where they exist, scheduled with Power Automate, n8n or Make. Student-level data is aggregated before it reaches the dashboard whenever the KPI allows, which reduces what must be protected under FERPA, GDPR, the Saudi PDPL, the UAE PDPL or the DPDP Act. Everything stays in your Microsoft 365 or Google Workspace tenant, or a cloud region you choose, and your IT team holds the admin rights from day one.
How an AI brief helps leaders read the numbers
Charts show that something changed. They rarely say what to look at first. Each week, the AI reads the latest figures, compares them with targets and the previous period, and drafts a short brief in English or Arabic: the e-learning unit cleared most of its overdue items, two departments are behind on course reports, the faculty survey response rate is low with ten days left. It also names missing data, so nobody mistakes a gap for good news.
The brief is a reading aid, not a verdict. It does not guess at causes it cannot see, and it never recommends action against a person. A named reviewer in the dean's office checks it before it goes further, and decisions about targets and follow-up stay with the people responsible. Over a year, the archive of weekly briefs also gives the institutional reporting team a written record of how each unit progressed, ready to draw on for annual reports.
AI Unit Performance Dashboard questions
Do we need Power BI licences to use this?
Not always. If your institution already has Power BI through Microsoft 365, we build there, keeping in mind that sharing reports with many viewers can require Pro or Premium licensing. Google Workspace institutions often use Looker Studio, which is free for standard use. We check what you already pay for during the free audit and design around it, so the dashboard brings no surprise costs.
Will the dashboard rank or evaluate individual faculty members?
No. It is built to show unit and department performance. Where a KPI depends on individual tasks, such as course report submissions, the staff responsible for follow-up can see the detail behind role-based access, but neither the dashboard nor the AI brief rates, ranks or judges anyone. Evaluation stays with your existing academic processes and the people who run them.
Who sees what, and where is the data kept?
Access follows roles you define: a unit head sees their unit, a dean sees the college and the quality unit sees institution-wide KPIs. Data stays in your Microsoft 365 or Google Workspace tenant or a cloud region you pick. Student data is aggregated wherever possible, and each setup is designed around the privacy law that applies to you, from FERPA and GDPR to the Saudi PDPL, the UAE PDPL and the DPDP Act.
Can the dashboard support accreditation reporting?
It makes the evidence easier to gather. Term-end snapshots keep dated KPI values with their sources, which helps when writing self-studies for NCAAA, CAA, QAA, NAAC or a US accreditor. It does not decide whether a KPI meets a standard, and it cannot guarantee any accreditation outcome. Your quality team still interprets the figures and writes the submission.
How long does it take to build and what does it cost?
A first version covering plan progress and a starter set of KPIs is usually ready in 3 to 4 weeks, delivered in stages. Cost depends on the number of data sources and units. The free 30-minute audit comes first, then you receive a written fixed-price quote, split into stages, before anything is built. There is no hourly billing, and the dashboard, data models and prompts belong to you.
Often built together
AI Unit Activity and Follow-Up ManagerKnow who owns each unit activity, when it is due and whether it is done, without chasing anyone by email.
AI Institutional Reporting AssistantWeekly, monthly and annual reports drafted from unit data, with the evidence already attached.
AI Quality Assurance and AccreditationKPIs, improvement plans and accreditation evidence tracked all year, not rebuilt before each review.
Get a fixed quote for your Unit performance dashboard
Send two lines about the process you want to hand over. We reply within one business day with what we would build, the tools involved and what it would take.
- 30-minute call, no slides, no pressure
- One fixed price before any work starts
- You own every workflow, account and line of code