Jobs by type
Total jobs completed, broken down by sub-category
Loading work-order data…
Reporting period snapshot
Keeping the campus running
From boiler repairs to broken locks, our estates team delivered thousands of jobs across hundreds of buildings over the reporting period. This page is a snapshot of what they got done.
Top 5 buildings by spend
Where the reactive budget lands
Weekly work-order volume
Jobs raised each week over the reporting period
Spend deep-dive
Where the money goes
Use the filters above to slice spend by team, building or job type. Hover any bar for the underlying numbers.
Total spend by team
Stacked by planned vs reactive
Top 10 buildings by spend
Cost distribution per job
Most jobs are small; a few are very large
Reactive vs planned
How much firefighting are we doing?
Almost every job and almost every pound is reactive. The question isn't whether reactive dominates — it's which categories, teams and buildings are most stuck in that mode, and what shifting some of it to planned could save.
Reactive vs planned spend by category
Top 12 sub-categories by total spend
Buildings most reliant on reactive work
Top 10 buildings by reactive spend
Reactive share by team
What proportion of each team's jobs are reactive
Reactive vs planned over time
Weekly job counts, stacked
Shift simulator
If we converted reactive jobs to planned…
Back-of-envelope: jobs shifted × (avg reactive cost − avg planned cost), over this reporting period. The real picture has overhead costs, prevented damage, and diminishing returns that this model ignores.
Service-level performance
Are we meeting our promises?
Every work order has a target attend time and a target resolve time. The bar is the typical UK university benchmark of 85% within target. Below: how we're doing overall, where we miss, and which teams and categories are dragging the average down.
Compliance at a glance
Share of jobs that hit their target
Monthly SLA trend
% within target each month, benchmark at 85%
Breach severity
How late are misses, when they happen?
SLA misses by team
Top 10 teams ranked by miss rate (≥ 20 jobs)
SLA misses by sub-category
Top 10 categories ranked by miss rate (≥ 50 jobs)
Team performance
Who's doing what?
The estate is kept running by a dozen teams of trades, contractors and helpdesk staff. Compare them by workload, spend, efficiency, or service-level performance.
Team comparison
Rank teams by the metric you care about
Team scorecards
Top 9 teams by volume — jobs, spend, efficiency and SLA
Sub-category mix by team
Top 8 categories across the estate; everything else grouped as “Other”
Weekly workload
Top 5 teams by volume, weekly job counts
People
Who's getting it done?
Every work order is logged against a person code. Below: how many jobs each individual contractor or staff member has handled, their spend, average cost per job, and how reliably they hit SLA.
Individuals
— individuals · click any column to sort
| Person code | Jobs | Total spend | Avg / job | % reactive | SLA attend | SLA resolve |
|---|
Estate
Which buildings need attention?
Hundreds of buildings make up the campus — but maintenance spend isn't spread evenly. A handful absorb most of the budget. Search, sort, and click into any building for a focused view of what's happening there.
Spend concentration
How much spend is absorbed by the largest buildings?
Buildings
— buildings · click a row for the detail view
| Building | Jobs | Total spend | Avg / job | % reactive | SLA met |
|---|
Building focus