Fairness balance
96%
Undesirable shifts remain tightly distributed over the current sample window.
Analytics
Measure fairness, compliance, and coverage over time.
Analytics turns schedule decisions into an audit trail. The focus is not vanity dashboards, but proof that staffing stayed compliant, balanced, and operationally sound.
Coverage compliance
99.4%
Every required skill mix is met except for explicitly flagged draft conflicts.
Overtime drift
2.8%
Excess hours are visible early so future rosters can correct course.
Primary surfaces
Fairness trends
The ledger makes workload distribution visible to staff and schedulers alike.
Track nights, weekends, holidays, and overtime over time.
Show relative load versus peers, not just raw counts.
Explain why a person was assigned a difficult shift.
Coverage heatmaps
Schedulers need to see pressure points before they become staffing failures.
Spot understaffed periods by time window or site.
Compare demand assumptions to actual roster coverage.
Highlight which missing skills create the biggest risk.
Compliance exports
Operational decisions need an audit-ready trail for payroll and regulators.
Export schedule changes, overrides, and rule edits.
Preserve actor, timestamp, and previous state values.
Support observer and auditor access without modification rights.
Build path
01
Start with the fairness ledger
Persist assignment history so fairness can be measured across schedules rather than in isolation.
02
Add compliance overlays
Surface legal-hour and rest-period risk alongside schedule results.
03
Publish organization reports
Deliver dashboard summaries and exportable evidence for admins, payroll, and auditors.