Case study

Improving Efficiency in a Customer Support Operations Tool

This project focused on redesigning a large-scale admin dashboard used by internal support teams to manage customer inquiries, escalations, and service operations.

As a UX Designer, I led the end-to-end redesign, identifying key pain points in agent workflows, simplifying complex navigation, and introducing new features to reduce resolution time.

My Rol

End-to-end design UI Design Interaction Design Collaboration with product and engineering

The Challenge

The Admin UI tool was originally developed in 2018 to support customer service and engineering teams. However, since its launch, no data had been collected on its usage or effectiveness.

By 2024, key questions emerged:

  • Is the tool still useful?
  • Are users relying on it daily?
  • Where are the inefficiencies?
  • Should it be improved or deprecated?

The core tension

How might we reduce resolution time while improving the quality of support interactions?

Framing the Opportunity

We identified three key opportunity areas:

  • Streamline navigation to reduce clicks and context-switching
  • Surface relevant customer data proactively
  • Create consistent interaction patterns across all modules

We identified three key opportunity areas:

  • Streamline navigation to reduce clicks and context-switching
  • Surface relevant customer data proactively
  • Create consistent interaction patterns across all modules

Our guiding principle

Every click should bring the agent closer to resolution.

Approach

We combined quantitative and qualitative research:

πŸ“Š Surveys

  • To validate whether users actively used the tool
  • To identify strengths and weaknesses
  • To understand perceived value

🎀 User Interviews

  • To deep dive into workflows
  • To identify pain points and inefficiencies
  • To understand how users navigate the platform

πŸ’‘ Key learning

Each design decision was validated with real users to ensure we were solving the right problems.

Users

We identified two primary user profiles:

πŸ§‘β€πŸ’»

Customer Support Team

  • Daily users of the Admin UI
  • Handle customer queries and onboarding issues
  • Frequently search for payments and investigate errors

Customer Support Team


  • Fast access to payment data
  • Clear visibility of relevant information
  • Efficient navigation
πŸ‘©β€πŸ”§

Tier 2 Specialists

  • Daily users of the Admin UI
  • Handle customer queries and onboarding issues
  • Frequently search for payments and investigate errors

Customer Support Team


  • Fast access to payment data
  • Clear visibility of relevant information
  • Efficient navigation

Key Problems Identified

  • Navigation complexity β†’ Too many steps to reach key actions
  • Information overload β†’ Irrelevant data cluttering the workspace
  • Inconsistent patterns β†’ Different modules, different experiences
  • Limited context β†’ Missing customer history during interactions
  • Limited context β†’ Missing customer history during interactions

Key Problems Identified

  • Daily users of the Admin UI
  • Handle customer queries and onboarding issues
  • Frequently search for payments and investigate errors
  • Frequently search for payments and investigate errors
  • Frequently search for payments and investigate errors

The Solution

We redesigned the admin tool with a unified architecture that brings relevant information to the surface.

Core Improvements

Optimized Layout & Space

  • Eliminates context-switching
  • Speeds up issue identification

Why it matters:

Navigation sidebar design

Smart Routing

  • Reduces manual triage
  • Ensures issues reach the right person faster

Why it matters:

Data table with filters
Column management interface

Contextual Action Bar

  • Reduces navigation steps
  • Shows only relevant options
  • Shows only relevant options

Why it matters:

Data table with filters

Agent Dashboard

  • Keeps agents focused
  • Provides performance visibility
  • Provides performance visibility
  • Provides performance visibility

Why it matters:

Data table with filters

Contextual Action Bar

  • Reduces navigation steps
  • Shows only relevant options

Why it matters:

Data table with filters

Agent Dashboard

  • Keeps agents focused

Why it matters:

Data table with filters

Outcomes

  • Established a clear, unified vision for AI-powered digital advice
  • Established a clear, unified vision for AI-powered digital advice


  • Aligned stakeholders around a cohesive experience strategy
  • Aligned stakeholders around a cohesive experience strategy


  • Defined a realistic MVP and phased roadmap
  • Aligned stakeholders around a cohesive experience strategy


  • Produced high-fidelity prototypes to communicate complex ideas
  • Aligned stakeholders around a cohesive experience strategy


  • Created reusable patterns for AI-assisted decision-making
  • Aligned stakeholders around a cohesive experience strategy

Portfolio preview web application

Key Takeaways

Guidance is most effective when it respects user autonomy

Guidance is most effective when it respects user autonomy

Guidance is most effective when it respects user autonomy

Closing Thought

Designing internal tools is about empowering teams to perform at their best.

The goal isn’t to make decisions for users, but to help them make better ones.