Warehouse operations were managed through a combination of internal tools, spreadsheets, and manual processes.
Each team maintained its own records for quality checks, inventory, and variance tracking. Data was updated independently across systems, often at different points in time.
Access to information varied by role, but there was no unified interface that reflected the end-to-end state of warehouse operations. As a result, users relied on experience and informal communication to fill in gaps.
Approach
Goal : To reduce cognitive load while maintaining accuracy, traceability, and operational reliability.
I followed a structured, iterative design process grounded in domain understanding and cross-functional collaboration:
- Understanding stakeholder inputs and existing operational workflows
- Synthesizing pain points through affinity mapping
- Defining user roles and core decision-making workflows
- Mapping critical user flows and dependencies
- Exploring interactions through wireframes
- Designing high-fidelity interfaces using the existing design system
- Supporting development through handoff and design QA
Secondary Research
Due to project constraints, direct primary user research was limited. To make informed design decisions, I focused on secondary research, drawing an understanding from stakeholder inputs, existing systems, and operational artifacts.
The aim was to build a shared understanding of the domain before proposing changes.
Personas (Derived)
Personas were derived from stakeholder inputs and observed workflows, rather than direct interviews.
They were used as alignment tools to represent:
- responsibilities
- decision-making needs
- access levels
- information frequency
Primary personas included Project Managers and Quality Check Officers, with secondary personas such as Regional QC Officers and Third-Party Managers.
These personas helped ensure the interface supported realistic operational needs without overgeneralizing user behavior.
System-Level Exploration & Brainstorming
Before moving into screens, I explored the problem at a system level to understand how information flowed across teams.
This included:
- mapping key workflows across roles
- identifying handoff points where information broke down
- exploring alternative ways to structure visibility and access
This helped ensure the designed solution addressed core operational issues rather than surface-level UI problems.
Exploring high frequency workflows
During system analysis, I focused on a few high-frequency workflows that shaped the product structure:
- Variance Testing
Identifying gaps between planned and actual execution (For warehouse blueprints) A repetitive, manual task used by Project Managers and internal staff. - Quality Checks
Tracking quality across units and handling damaged items through structured records. Used by Project Managers, on-site staff, and QC officers. - Managing User Access
Controlling access for internal and third-party users to reduce risk and maintain data security.
These workflows informed decisions around dashboards, permissions, and audit visibility.