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Employee Schedule — Mobile application redesign

Project Type: Workforce Management System (Mobile-First Approach)
Role: UX/UI Designer
Skills: UX Research · Agile Collaboration with Cross Functional Team · Info. Arch. · Mobile Interaction & UI Design · Prototyping
Timeline: 2 Months

Project Overview

The Employee Schedule App is a core mobile module in Logile’s Workforce Management Suite. It is used daily by frontline employees and managers to view shifts, submit availability/time-off, manage shift swaps, and approve requests.

Despite high mobile usage the app suffered from inefficient navigation, fragmented workflows, and inconsistent task flows which created frustration and increased support tickets.

Project Goal

Challenges

Research Approach

We worked with product managers, stakeholders, and actual users to understand usage patterns and pain points. Methods included interviews, heuristic evaluations, app-store review analysis, and analytics review via Pendo.

Card Sorting Example Scheduling App Redesign

Key Insights

Design Exploration

Wireframing

We sketched multiple wireframe flows focusing on a single dashboard to unify My Schedule, Availability, and Requests. The goal was to show schedule + actions in one glance.

Wireframing Example

Final Design Decisions

  1. Unified Dashboard: Consolidates schedule, pending approvals, and quick actions.
  2. Weekly View: Default weekly calendar with expand-to-day detail.
  3. Quick Actions: Swap, request, and availability controls available from cards.
  4. Smart Defaults: App opens to current week/day and surfaces pending manager actions.
Dashboard mockup
Employee Available Shifts Screen
Supervisor Screen

Solution Delivered

Outcomes & Results

Quantitative Impact

Qualitative Feedback

Conclusion

By deeply understanding scheduling habits and designing with accessibility and efficiency in mind, we delivered a mobile-first scheduling experience that fits seamlessly into the daily lives of shift-based workers. The redesign improved productivity, lowered cognitive load, and provided a scalable foundation for future features.

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