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Redesigning a Complex Web-Based Platform to Improve Workflow Efficiency and System Adoption

Context

A legacy web-based platform was used internally to manage big and official event organization process. Despite being business-critical, the system had:

  • Fragmented workflows across multiple tools

  • High cognitive load due to dense data structures

  • Low usability, leading to inefficiencies and workarounds

  • Outdated UI design and inconsitant with organization design identity

This reflects a common issue in complex systems where tools fail to meet business needs, leading to inefficiency and poor adoption

Problem

The existing system slowed down expert users instead of supporting them.

Key issues:

  • Users needed to switch between multiple systems to complete a single task

  • Information architecture did not reflect real workflows

  • Critical actions were buried in complex interfaces

  • High error risk in multi-step processes

Impact:

  • Increased time-on-task

  • Frustration among internal users

  • Reduced efficiency in high-stakes operations

My role

Senior UX Designer responsible for:

  • End-to-end UX (research → design → validation)

  • Framing the UX strategy

  • Structuring workflows and system architecture

  • Prototyping & UX reviews

  • Testing and iterative design

Approach

Understanding the real workflow

Instead of relying on documentation, I worked with stakeholders and users to map actual behavior:

  • Conducted stakeholder interviews

  • Analyzed existing workflows and dependencies

  • Identified gaps between system logic and user mental models

Reframing the system

I shifted the design from system-centric to user workflow-centric, This meant:

  • Grouping information around user goals

  • Reducing unnecessary steps

  • Making critical actions visible and predictable

Designing scalable structure

I redesigned information architectureuser flows and interaction patterns, with special attention was given to:

  • Multi-role usage

  • Data-heavy interfaces

  • Edge cases in workflows

Iteration and validation

  • Created wireframes and interactive prototypes

  • Validated flows with stakeholders and users

  • Iterated based on feedback and technical constraints

Key decisions

Prioritize task-based navigation over data structure

Instead of exposing the system’s complexity, I reorganized navigation around user goals. Therefore, it lead to more efficiency for users

Reduce flexibility to increase usability

The original system allowed too many paths, creating confusion. There I introduced clearer flows and constrained actions. It lead to higher clarity and fewer errors

Standardize interaction patterns

Different parts of the system behaved inconsistently.  I aligned:

  • components

  • interactions

  • layout logic

Impact:

Reduced learning curve and improved predictability

Outcome

  • Simplified complex workflows into structured, intuitive flows

  • Reduced cognitive load for users working with large datasets

  • Improved efficiency in completing critical tasks by reducing time on task by 30%

  • Created a scalable foundation for future system expansion (already in process for turn into permanent product within organization

  • Improved error rate by 40% by reducing support tickets

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