A project aimed at improving how the University tracks and plans academic workload was completed in April 2019 and fully implemented across all of the Schools. Eight of the Schools have published workloads to their academic staff and are working with them to verify the workloads. At this point, the School of Dentistry has still to publish workload allocations and the School of Science and Engineering has gained agreement with all of their academic staff.

The off-the-shelf solution was supplied from Simitive, a Bristol-based company which specialises in tools to improve organisational performance. The University has moved away from ‘silo’ working practices and the old spreadsheet-based model. 

The maintenance and updating of the current model was very labour intensive and inconsistent across and within Schools, and there was a wealth of information that the University couldn't access or utilise in an efficient manner

The solution, which will integrate with other systems including Finance, HR & Payroll, Research Management and Student & Curriculum Management, is fully configurable to our requirements and provides embedded reporting and data analytics capability. It also provides greater transparency and ease of access for users.

The dialogue between individuals and line managers is greatly improved, providing a much more streamlined process which frees up staff in each School to support other activity.


It is a key planning tool which helps us to improve:

  • The appropriate and fair allocation of academic workload
  • Compliance with UK HEI Transparent Approach to Costing (TRAC) requirements
  • The University’s future academic workforce and activity planning
  • The ability to conduct income / cost analysis by activity
  • Embedded reporting capability

"The new solution aligns with the University’s strategy which will enable our people to flourish. It’s part of ensuring a fair, equitable and transparent workload and working continuously to remove any imbalances”.
Wesley Rennison, Director of Strategic Planning.