Create the foundation
Set up the institution workspace
Account owners and administrators configure roles, subjects, classes, campuses and term structures around existing operations.
How StaffSense works
From context to allocation, without the guesswork.
A connected workflow helps teams gather inputs, compare recommendations, exercise judgement and preserve a clear decision record.
Gather staff context
Lecturers maintain their own inputs
Staff update their availability, preferred subjects, locations and delivery modes, reducing administrative chasing.
Generate options
Rank potential matches transparently
The recommendation engine compares class needs with availability, preferences, workload and carefully interpreted historical signals.
Apply judgement
Review, approve or override
Administrators inspect ranked options, resolve conflicts and document the rationale where a different allocation is needed.
Close the loop
Publish, report and learn
Final schedules are published to lecturers while logs, reports and linked outcomes preserve institutional knowledge.
Designed for oversight
The system recommends. Your team decides.
StaffSense is intentionally human-in-the-loop. Recommendations accelerate review without turning a complex academic decision into an automated verdict.
- Compare ranked alternatives before approving.
- See why a lecturer was included or excluded.
- Record override reasons for governance.
- Trace final allocations back to their inputs.
Decision review
Approve allocation
ReadyEKDr Elena KimRecommended · 4 supporting reasons94%
Review checklist
Scheduling conflictsNone foundPassed
Workload targetWithin rangePassed
Decision recordReady to saveReady