Backlog maintenance in higher education:

2 Nov

How to prioritise when everything seems urgent

The backlog is rarely a surprise

Many universities look after buildings that span a century or more of construction: heritage properties, 1960s and 1970s concrete blocks and more recent additions, each with different failure modes. Poor energy performance, accessibility gaps and rising maintenance demands are common across all of them.

According to the National Audit Office report, Research England has estimated that there is a £5.6bn backlog of repairs, with English universities spending £1.8bn annually on research infrastructure, of which £758 million is spent entirely on maintenance.

The backlog is rarely a surprise. What is hard is deciding what to fix first, and proving that decision to people who control the budget.

Why backlogs keep growing

In many estates teams, maintenance decisions are made with partial information:

Condition surveys are out of date or held as static reports
Maintenance history sits in a separate system from asset and building data
Energy, accessibility and compliance issues are tracked on their own, not alongside condition
Urgency is driven by who shouts loudest, not by risk

The result is a long list of jobs with no clear order, and a reactive cycle where the latest failure takes priority over the biggest risk.

Bringing condition, cost and risk into one view

Invida brings estate data together on one platform, so building condition, asset information, maintenance history, compliance status and space use can be seen in the same place. That gives estates teams a practical basis for prioritising:

See the whole picture by building. Condition, running cost, energy performance and risk, side by side.
Rank work by what really matters. Weigh safety, compliance, disruption to teaching and cost of delay, rather than relying on instinct.
Avoid spending on the wrong buildings. If a building is under-used and in poor condition, the right answer may be consolidation, not repair. That only becomes visible when space and condition data are joined up.
Show the consequences of deferral. Present the board with what fails, what it stops and who is affected, not just a cost figure.

From a long list to a defensible plan

A prioritised, evidence-based programme does more than organise the work. It helps explain why some projects wait, which makes it far easier to secure funding for the ones that cannot. It also supports better planning of retrofit and energy-efficiency work, because the same data shows where improvements will have the greatest effect.

A practical test

Could your team produce a ranked backlog, with risk and cost attached to every item, in a day? If it would take weeks, or if different teams would produce different lists, your data is working against you.