Workday: Scheduling for frontline teams
B2B SaaS · Web · Mobile
Three apps to do one job: why mobile adoption fell short

Frontline managers juggled separate apps in Workday just to do one job.
Mapping frontline managers' jobs-to-be-done across a shift
I studied frontline managers' jobs-to-be-done through foundational research, customer interviews, and analysis of the role's core responsibilities. Then I mapped UI states to their key tasks throughout a shift.
One screen for self-management and team management
A unified home view that surfaces timely, relevant tasks using two components:
A personal schedule card for managing their own day.
A live coverage view for real-time team status.
Both on one screen. Managers switch between self-management and team management without app-hopping.
Cards reflect a manager's need in a shift, from check-in to end of day
A day in the life: one flow from check-in to close
The final design unifies workforce management into one flow that follows a frontline manager through their day: start informed, handle coverage in real time, and close with clean records. No manual data entry, no switching between systems.
Morning: Check in and get briefed
A manager arrives at the store and checks in with one tap. Their daily brief surfaces everything they need to prepare for the shift ahead.
Mid-shift: Monitor coverage and act fast
During the shift, attendance status is visible at a glance. If someone's late or missing, the manager can reach out or create a replacement shift in a few taps.
End of day: Close out clean
When the shift ends, the manager checks out, sees estimated pay immediately, and can leave notes for the next manager. Time data syncs directly to payroll.
P.F. Chang's nationwide adoption
P.F. Chang's is Scheduling mobile's anchor customer. After months of co-creation, they adopted the scheduling solution across all U.S. locations after a successful pilot. Workday Scheduling grew 193% that year.
Frontline managers no longer switch between systems to check attendance, handle coverage gaps, or close out shifts.
Web scheduling with ML-powered forecasting
I also led the web scheduling experience for senior managers and regional leaders. The product features an ML-powered forecasting workflow: managers review labor forecasts generated from historical data, adjust for local context, and auto-generate schedules.


