T-Mobile CTUX

(Customer Touch UX)

Transforming front-line service through data-driven design

Learn More
Learn More
Learn More

The Challenge

Fragmented Tools, Frustrated Teams

T-Mobile’s in-store teams faced increasing pressure to deliver fast, personalized service — but the tools they relied on weren’t designed for seamless support. Retail Service Representatives (RSRs) juggled multiple legacy systems to find basic customer information, slowing interactions and reducing accuracy.

Key Challenges

  • Fragmented systems: Customer, account, and device data were spread across multiple disconnected tools.

  • Limited personalization: Without a unified customer view, reps couldn’t easily tailor offers or anticipate needs.

  • Inefficient workflows: Constant app-switching and manual lookups increased handling time and errors.

  • Manager blind spots: Store leaders lacked real-time visibility into team performance and customer trends.

The result — slower service, missed opportunities, and inconsistent customer experiences across retail locations.

Client

VIA

ROLE

UX Strategy & Direction: Defined vision, frameworks, and success metrics.

Experience Design: Created wireframes, prototypes, and visual systems aligned with data models.

Stakeholder Facilitation: Led cross-functional workshops bridging UX, data, and engineering.

CX Integration: Ensured designs aligned with broader MCCT transformation goals.

Platform(s)

Tablet, Web, and Large Screen Interfaces

Project Duration

26 Months — A multiple-stage engagement across multiple, integrated products.

Focus Areas

Information Architecture, UX Strategy, Service Design, Data Visualization, Enterprise Dashboard UX

TEAM

• UX Design Lead (Tim)
• Engagement Manager
• Front-end developer
• Multiple Client Stakeholders

Objective

Creating a Unified Service Experience

The CTUX initiative sought to empower front-line employees with a single, predictive, and personalized interface — consolidating key customer data and surfacing clear next steps.

As visualized in the T-Mobile CTUX Overview infographic, this effort extended the Multi-Channel Customer Touch (MCCT) program launched in 2013, evolving T-Mobile’s service model from reactive to proactive — delivering the Right Offer, at the Right Time, through the Right Channel.

Core Objectives

  • Unify customer data: Centralize account, device, and engagement history for quick comprehension.

  • Enable personalization: Present contextual “Next Best Action” insights for each customer.

  • Simplify workflows: Reduce clicks, cognitive load, and task time for front-line teams.

  • Enhance visibility: Provide managers with clear, actionable performance analytics.

The vision was simple but ambitious: to make every employee interaction smarter — and every customer interaction feel more human.

Approach

Turning Data into Actionable Design

I started by leading a research and discovery phase to understand how RSRs actually worked on the floor. Through field interviews, observation sessions, and process mapping, I uncovered both workflow challenges and emotional friction points — like frustration with outdated tools or the stress of long customer queues.

With those insights, I facilitated design workshops to align stakeholders around a single goal: create a data-visualization-driven interface that made complex customer data simple, visual, and human.

My process included:

  • Journey mapping across retail and customer care environments to identify pain points and opportunities.

  • Data modeling workshops with analytics and engineering to ensure design feasibility.

  • Rapid prototyping in Figma and Axure, allowing us to test visual hierarchies and reduce click paths.

  • Usability testing with real RSRs to validate the clarity and speed of the interface.

Throughout the process, I emphasized “glanceable design” — surfacing what mattered most, when it mattered most.

I started by leading a research and discovery phase to understand how RSRs actually worked on the floor. Through field interviews, observation sessions, and process mapping, I uncovered both workflow challenges and emotional friction points — like frustration with outdated tools or the stress of long customer queues.

With those insights, I facilitated design workshops to align stakeholders around a single goal: create a data-visualization-driven interface that made complex customer data simple, visual, and human.

My process included:`

  • Journey mapping across retail and customer care environments to identify pain points and opportunities.

  • Data modeling workshops with analytics and engineering to ensure design feasibility.

  • Rapid prototyping in Figma and Axure, allowing us to test visual hierarchies and reduce click paths.

  • Usability testing with real RSRs to validate the clarity and speed of the interface.

Throughout the process, I emphasized “glanceable design” — surfacing what mattered most, when it mattered most.

I started by leading a research and discovery phase to understand how RSRs actually worked on the floor. Through field interviews, observation sessions, and process mapping, I uncovered both workflow challenges and emotional friction points — like frustration with outdated tools or the stress of long customer queues.

With those insights, I facilitated design workshops to align stakeholders around a single goal: create a data-visualization-driven interface that made complex customer data simple, visual, and human.

My process included:`

  • Journey mapping across retail and customer care environments to identify pain points and opportunities.

  • Data modeling workshops with analytics and engineering to ensure design feasibility.

  • Rapid prototyping in Figma and Axure, allowing us to test visual hierarchies and reduce click paths.

  • Usability testing with real RSRs to validate the clarity and speed of the interface.

Throughout the process, I emphasized “glanceable design” — surfacing what mattered most, when it mattered most.

Design solution

In-Call Center

Right-Action at the Right Time

A personalized overview showing customer status, key metrics (usage, payments, open tickets), and quick actions.

Recommended "next-best-action"

AI-driven product, service, and device information as determined by their customer history, data, device, social, marketing, and other available information.

Interaction Timeline

A visual history of touchpoints across channels — from in-store visits to digital interactions — designed for quick pattern recognition, understanding of historical context.

Marketing and social

Quick insights into marketing offers and campaigns available to customers and access to other relevant information to help guide the CSR to finding new "Right Offer At The Right Time."

design solution

In-Store: Mobile

Customer information and solutions in their hands

A personalized overview showing customer status, key metrics (usage, payments, open tickets), and quick actions.

Recommended "next-best-action"

AI-driven product, service, and device information as determined by their customer history, data, device, social, marketing, and other available information.

Interaction Timeline

A visual history of touchpoints across channels — from in-store visits to digital interactions — designed for quick pattern recognition, understanding of historical context.

Marketing and social

Quick insights into marketing offers and campaigns available to customers and access to other relevant information to help guide the CSR to finding new "Right Offer At The Right Time."

Objective

Results and Impact

The CTUX pilot delivered measurable improvements in both efficiency and experience quality:

Metric

Impact

Time-to-Serve

Reduced by ~40% during pilot testing

Click Reduction

Over 35% fewer interactions per task

Customer Satisfaction (CSAT)

Increased 20–25% in post-visit surveys

Reflection

CTUX remains one of the projects I’m most proud of — not only for the design outcomes but for the cultural shift it represented. We turned a complex, siloed ecosystem into an elegant, human-centered product that helped real people — T-Mobile’s retail employees — deliver better experiences for millions of customers.

It was a perfect example of what I love about UX at scale: using data, empathy, and design clarity to empower the people behind the brand.

I'd love to connect.

Please drop me a line. I'm very friendly and love to take on new challenges.

I'd love to connect.

Please drop me a line. I'm very friendly and love to take on new challenges.

I'd love to connect.

Please drop me a line. I'm very friendly and love to take on new challenges.

I'd love to connect.

Please drop me a line. I'm very friendly and love to take on new challenges.

© 2024 Tim Aidlin. All rights reserved of their respective owners.
All brands, screens, and assets used by permission of owners. Some examples available during live review, on request.

© 2024 Tim Aidlin. All rights reserved of their respective owners.
All brands, screens, and assets used by permission of owners. Some examples available during live review, on request.

© 2024 Tim Aidlin and respective owners, used with permission.

© 2024 Tim Aidlin. All rights reserved of their respective owners.
All brands, screens, and assets used by permission of owners. Some examples available during live review, on request.