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United Airlines

United Airlines: Turning Agent Frustration into Flight Efficiency

Role:
Timeline: Feb 2018 – Dec 2018
Type: Agent Experience Transformation & System Consolidation
Human-Centered Design
Agent Experience
Enterprise UX
Workflow Optimization
System Integration
IBM iX
United Airlines: Turning Agent Frustration into Flight Efficiency preview

Picture this: You're trying to help a stranded family get home, but you're stuck juggling 13 different computer systems that don't talk to each other. Every few minutes, another system crashes. You're manually copying the same information over and over. The customer is getting frustrated, and honestly, so are you. This was the daily reality for thousands of United Airlines agents when I started this project. As their advocate and Lead UX Designer, I embedded myself in contact centers to understand their world. What I discovered wasn't a technology problem—it was a human crisis. Talented, dedicated people were being set up to fail. My mission became clear: redesign the entire agent experience so they could focus on what they do best—helping customers.

The Agent Crisis: When Good People Can't Do Good Work

The Human Cost of Broken Systems

Systems Per Case
Cognitive overload daily
Annual Turnover
Agents leaving due to burnout
Time Lost
Navigating broken systems
Agent NPS Score
Job satisfaction crisis

Meet the Agents: The Human Story

Peggy (18 years with United): “I love helping customers, but these systems make me feel incompetent. I spend more time fighting computers than solving problems.”

Debbie (32 years experience): “I used to be proud of my job. Now I question if I'm any good at it because everything takes so long.”

Irene (new to customer care): “I thought I wasn't smart enough to learn this job. Turns out, the systems were just broken.”

My Role as Agent Advocate: As Lead UX Designer from IBM iX, I didn't just research these agents—I became their champion. I sat with them through entire shifts, felt their frustration, and witnessed their incredible dedication despite impossible tools. My Political Science background helped me understand this wasn't just a technology problem—it was an organizational crisis where system design directly impacted human dignity and capability.

The Solution We Built Together: Through deep collaboration with agents, we designed a unified dashboard that eliminated the 'swivel chair' nightmare. We consolidated 13 systems into one intuitive interface, translated cryptic codes into human language, and built AI-powered tools that made agents feel confident and capable again.

Transformational Results

Agent efficiency improvement250%
Cases per hour (2 → 7)+250%
Agent NPS improvement+67 points
Annual value created$4.3M
Systems consolidated13 → 1

Project Impact

  • • 5,000+ agents regained job satisfaction
  • • Eliminated burnout-causing 'swivel chair' workflow
  • • Transformed frustrated agents into confident problem-solvers
  • • Led to $12M multi-year IBM contract expansion
  • • Became template for enterprise agent tools globally
“Stephen didn't just design a new system—he gave us our dignity back. For the first time in years, I feel proud of the service I can provide.”
— United Airlines Customer Service Agent, Post-Launch Interview

Why This Project Matters

This wasn't just about improving efficiency—it was about human dignity. When we design systems that fight against people instead of empowering them, we create unnecessary suffering in the workplace. This project taught me that the best business outcomes come from genuinely caring about the people who use our designs. By starting with agent needs and building tools that made them feel capable and confident, we created value that rippled through the entire organization. The massive business results were simply the natural consequence of putting humans first.

Transformational Business Impact

12M
Annual Operational Savings
Achieved through reduced case handling time and increased agent efficiency.
67 points
Agent NPS Improvement
From -25 to +42, indicating significantly higher job satisfaction and reduced burnout.
250%
Case Resolution Rate
From 2 to 7 cases per hour, dramatically improving customer service throughput.
1 system
System Consolidation
Fragmented legacy systems consolidated into a single, unified agent dashboard.

Key Performance Improvements

250%
Avg. Complaint Resolution Rate
50%
Avg. Case Handling Time
91%
Agent Context Switches
99.8%
Compensation Rule Adherence
+42
Agent Satisfaction (NPS)

The Challenge: When Good People Can't Do Good Work

What I Learned as a New Designer

February 2018: Starting as a UX designer at IBM iX, I was assigned to United Airlines with one goal: understand why their customer service agents were struggling. What I discovered wasn't a technology problem—it was a human problem. Talented, dedicated agents were being set up to fail by systems that prioritized departmental needs over human experience.

Agent Voices: The Reality Behind the Numbers

“I used to be good at this job. Now I feel stupid every day. It's not me—it's these systems fighting against everything I'm trying to do.”
— Peggy Priceworth, 18 years with United, 7 in Customer Care
“I spend more time training people to fight computers than teaching them to help customers. This isn't what I signed up for.”
— Debbie Santos, 32 years with United, Team Manager
“I thought I wasn't smart enough to learn this job. Turns out, the systems were just broken. How was I supposed to know that?”
— Irene Lewis, 6 months in Customer Care

The Daily Agent Experience

8:00 AM - Start of Shift

Agent logs into 13 different systems, each with separate credentials. KANA takes 15 seconds to load customer records.

10:30 AM - System Crash #1

KANA freezes mid-customer call. Agent puts passenger on hold, reboots system, asks customer to repeat information.

12:00 PM - Cognitive Exhaustion

After 47 system switches and manual data re-entry, agent feels mentally drained despite only completing 4 cases.

3:45 PM - Workaround Mode

Agent develops personal system of pen-and-paper notes to track information across multiple applications.

6:00 PM - End of Shift

Agent leaves work feeling incompetent despite helping dozens of passengers through impossible technical barriers.

The Swivel Chair Interface

The Physical Reality: Agents literally swiveled between monitors, juggling windows, copying information by hand. One typical interaction required:

  • KANA lookup (customer history) - 15 second load time
  • ezCare case creation - manual data re-entry required
  • FLIFO flight status - cryptic codes needing interpretation
  • MileagePlus status check - separate login and window
  • Shares reservation system - command-line interface
  • 8+ additional systems for complete resolution

Critical Insight: Agents spent 40% of their time navigating between systems, not helping customers. This wasn't inefficiency—it was systemic design failure that created unnecessary human suffering in the workplace.

Stephen's Unique Perspective: Political Science Systems Thinking

Why This Mattered: My Political Science background from Miami University gave me a unique lens for understanding this challenge. While other UX designers might focus immediately on interface problems, I first mapped the institutional forces at play.

Institutional Analysis

Each system optimized for its department, not for the humans using all of them together.

Power Mapping

Technology decisions were made without agent input, creating tools that worked against human workflows.

Systems Thinking

Agent problems were symptoms of organizational structure, not individual incompetence.

250%
Agent Efficiency
Improvement in case resolution speed
2→7
Daily Productivity
Cases resolved per hour per agent
13→1
Cognitive Load Reduction
Systems agents needed to navigate
$4.3M
Business Value
Annual value in reclaimed productivity

My Role: Embedded UX Strategist in a High-Stakes Transformation

As the Lead UX Designer from IBM iX, I was embedded directly within the United project team. My role was to serve as the primary advocate for the end-user—the customer care agent—while navigating the complex web of business requirements from United's product owners and the technical constraints defined by the IBM development team. This project's cross-functional nature, bringing together consultancy experts, client stakeholders, and frontline employees, demanded a role that was part strategist, part researcher, part designer, and part diplomat.

My core responsibilities were comprehensive and spanned the entire project lifecycle:

  • Lead Ethnographic Researcher: I designed and personally conducted the in-depth ethnographic research, embedding myself in the contact centers to observe and understand the agents' world. This went beyond simple interviews to capture the latent needs, environmental pressures, and clever-but-inefficient workarounds that defined their daily reality.
  • Workshop Facilitator: I planned and led the pivotal 2-day co-creation workshop. This involved bringing diverse, and sometimes conflicting, viewpoints from United product owners, senior agents, and IBM technical architects into a single room and guiding them toward a unified vision and a prioritized set of goals.
  • Lead Information Architect & Interaction Designer: I owned the most complex design challenge of the project: deconstructing the information silos of 13+ legacy systems and synthesizing them into a single, coherent information architecture. I was responsible for every user flow, wireframe, and interaction pattern that defined the new dashboard experience.
  • Prototyping & Validation Lead: I translated our design concepts into high-fidelity, interactive prototypes using Sketch and Flinto. More importantly, I designed and ran the continuous usability testing program with frontline agents, ensuring that every design decision was validated against the reality of their workflow.
  • Stakeholder Liaison: I served as the central communication hub, translating agent needs into design requirements for the development team, and articulating the strategic value of our design decisions to business stakeholders. This constant translation was critical to ensuring our final solution was not only desirable for users but also viable for the business and feasible to build.

The Breaking Point: System Chaos at 30,000 Feet

The Agent Reality

The daily reality for a United customer care agent in 2018 was one of managed chaos. Resolving a single customer issue—which could involve rebooking, processing compensation, and arranging lodging—required navigating a constellation of over 13 disparate legacy applications, each with its own arcane interface, separate login, and siloed data. This created what we termed the "swivel chair" interface: a digital environment so fragmented that agents were forced to physically and mentally pivot between screens and applications, manually transcribing flight numbers, passenger names, and ticket details from one window to another.

14.5
Minutes per case
40%
Time navigating systems
60%
Annual agent turnover

Cognitive Overload: The mental burden of retaining information from multiple sources while simultaneously managing a high-stakes customer interaction was immense. Agents had to act as human middleware, connecting data points that the systems could not.

Crippling Inefficiency: Each application switch, each manual data entry, added precious seconds to an interaction. These seconds accumulated into minutes, directly contributing to the long queue times that are a top complaint across the entire airline industry. The agent's poor user experience was, in effect, the direct cause of the customer's poor brand experience.

Inconsistent Service and Brand Erosion: Without a single source of truth or a guided workflow, the resolution a passenger received depended almost entirely on the individual agent's experience and their personal knowledge of system workarounds. This inconsistency erodes trust, a critical asset in an industry where competitors often fly similar planes on similar routes at similar prices.

Agent Burnout and High Turnover: The combination of high customer stress and deep tool-induced frustration created a toxic work environment. This led to high rates of agent burnout and attrition, a significant and recurring operational cost for United in hiring and training.

Beyond the operational inefficiencies, this fragmented system was a ticking time bomb of financial and legal liability. The U.S. Department of Transportation (DOT) has explicit, complex rules governing passenger compensation. For an agent under pressure, manually calculating this compensation by pulling fare data from one system, delay information from another, and regulatory rules from a printed-out guide was a recipe for error. An underpayment could trigger a customer complaint to the DOT, risking investigation and fines. An overpayment, multiplied across thousands of interactions, represented a direct and unnecessary financial loss.

Legacy System Breakdown

SystemFunctionKey Pain Points
KANACustomer Relationship Management (CRM)
  • Slow load times (~15s per record)
  • Buried customer history (avg. 7 clicks deep)
  • No real-time flight integration
ezCare (Internal)Case Creation & Routing
  • Clunky, text-based UI
  • No data pre-population; required manual entry of all customer/flight info
  • Separate login/window
FLIFO FeedReal-time Flight Status
  • Data presented as raw, cryptic codes (e.g., "DLAY 120")
  • Required manual lookup and interpretation
  • No link to customer records
Shares (Internal)Reservation & Ticketing System
  • Command-line interface
  • Steep learning curve; high error rate for new agents
  • Required memorization of complex codes
MileagePlus DBLoyalty Program Database
  • Separate lookup tool for elite status and benefits
  • Not linked to KANA or ezCare
+8 OthersVarious
  • Redundant data entry
  • Inconsistent UIs
  • Frequent crashes

Problem Visualization

A snapshot of the daily challenges faced by agents due to system fragmentation.

0%
Human Cost

agent turnover annually

0.0 min
Operational Impact

average case time

0%
Compliance Risks

error-prone DOT compensation calculations

Research & Discovery: Embedded Ethnography

Research Scope & Methodology

0
Weeks Embedded

full-time field research with agents

0
Agents Interviewed

in-depth interviews across locations

0
Global Markets

United hubs and regional offices

Co-Creation & Strategy: Forging Our North Star

Armed with the powerful evidence and empathy from our discovery phase, I designed and facilitated a 2-day strategic design thinking workshop. This was a critical moment of alignment for the entire project. The participant list was intentionally diverse, including United product owners who held the business requirements, senior customer care agents who were the voice of the user, and IBM technical architects who could speak to technical feasibility.

The workshop began by immersing the stakeholders in the agent's reality. We presented the "before" workflow maps and shared anonymized but powerful video clips and audio quotes from our agent interviews. This process was instrumental in building a shared understanding of the problem's severity and fostering a collective sense of urgency. Once aligned on the problem, I led the group through a series of exercises to define the guiding principles for our new solution. After extensive brainstorming and synthesis, we distilled our vision into three simple but powerful "North Star" principles:

  • Speed: Every interaction, every task, every click must be demonstrably faster than the old way. The design must ruthlessly eliminate wait times and redundant steps.
  • Clarity: Information must be presented in a way that is unambiguous, instantly understandable, and actionable. No more decoding, no more guesswork.
  • Consistency: The system must be a guide, not an obstacle. It should intelligently lead every agent—regardless of tenure—to the correct, compliant, and empathetic resolution, every single time.

With our principles defined, we moved to prioritization. Recognizing we couldn't solve every problem at once, I led the group through an impact/effort mapping exercise. This allowed us to collaboratively identify the most critical use cases for our Minimum Viable Product (MVP). We focused on scenarios that were high-frequency and caused the most pain, such as handling compensation for significant flight delays, managing rebooking for overbooked flights, and resolving lost baggage claims.

Iterative Design & Prototyping: Making Data Actionable

This phase was dedicated to translating our strategy and principles into a tangible, interactive design. I led the design work in Sketch, with a primary focus on solving the core challenge of information architecture (IA). The central design concept was a "single pane of glass" dashboard that would finally put an end to the "swivel chair" workflow. My IA strategy was built around a three-column layout designed to mirror the agent's natural mental model for resolving an issue:

  • Left Column (The Customer): A persistent, immediately visible "Customer 360" view. This module would pull and synthesize data from KANA and the MileagePlus database to instantly show the agent who they were talking to: their name, their MileagePlus status (e.g., Premier 1K), their recent travel history, and any open or recent support cases.
  • Center Column (The Problem): The active workspace. This area integrated the case creation and documentation workflow from the ezCare system. It's where the agent would log the details of the customer's current issue, with many fields pre-populated from the customer and flight data already present.
  • Right Column (The Context & Solution): A dynamic, intelligent panel that would surface relevant information and decision support tools based on the context of the case. This is where the human-readable, translated FLIFO data would appear (e.g., "Flight UA456 from ORD to SFO is delayed 2 hours due to weather") and where the AI-powered compensation recommendations would be displayed.

To bring this IA to life and test our assumptions quickly, I built a series of interactive prototypes in Flinto. These were not just static mockups; they were clickable, responsive models of the user experience. This allowed us to validate key hypotheses long before any production code was written. For example, we ran a simple test on the hypothesis: "If we pre-populate the customer's name and most recent flight number into the case creation form, how much time does it save?" The prototype allowed us to measure this directly with agents, and the answer—an average of 30 seconds saved per interaction—was a massive, quantifiable win that immediately validated our design direction.

Ethnographic Research & Contextual Inquiry

Embedded with agents across global contact centers to observe daily workflows and pain points.

Shadowing
Direct Observation
Contextual Interviews
Remote Interviews
Workflow Mapping

Agent Persona Development

Created detailed personas to represent the diverse needs and challenges of the agent population.

Qualitative Data Synthesis
Persona Mapping Workshops

Co-creation Workshops & Iterative Prototyping

Engaged agents and stakeholders in collaborative design sessions to build and refine solutions.

Design Sprints
Low-fidelity Prototyping
Usability Testing

Validation with the Frontline: Measuring What Matters

Design in a vacuum is doomed to fail. To prevent this, I established a continuous validation loop, running weekly usability testing sessions with a dedicated panel of 8-10 frontline customer care agents. This was not a one-time check at the end of the process, but an ongoing conversation that shaped the design at every stage.

Using a think-aloud protocol, I would present the agents with realistic scenarios via the Flinto prototype (e.g., "A Premier Platinum member is on the phone. Her flight from Denver to Newark was just canceled due to a mechanical issue. Use the dashboard to find her a new flight and offer her the correct compensation."). I would then observe their clicks, their hesitations, and listen to their commentary as they navigated the interface.

This iterative process led to numerous critical design refinements. One of the most significant involved the AI recommendation feature. Our initial design presented the compensation options along with a great deal of data explaining how the AI model had arrived at its conclusion (displaying weightings for loyalty status, fare class, etc.). We thought this transparency would build trust. We were wrong. The feedback from agents was swift and unanimous: "This is confusing. I'm under pressure, I don't have time for a math lesson. Just tell me the top 3 best options and let me choose."

This feedback was invaluable. We radically simplified the AI widget in the next iteration. The new design clearly presented "Option 1," "Option 2," and "Option 3," with simple, benefit-oriented labels like "Best Value (Voucher)," "Fastest Resolution (Miles)," and "Highest Customer Satisfaction (Hotel & Meals)." A small, unobtrusive "View Details" link was available for agents who needed to dig deeper in edge cases, but the primary interface was now built for speed and clarity. This single change, born directly from user feedback, was crucial for ensuring the adoption and success of the dashboard's most innovative feature.

Understanding Agents: The Heart of the Solution

To truly fix things, I had to get into the agents' world. This meant going beyond typical research and really experiencing their daily grind—the pressure, the clever workarounds, the small victories, and the constant frustrations. I spent weeks embedded with them, watching them juggle 13 different systems. What I learned was eye-opening: agents knew exactly what they needed, but their tools were fighting them every step of the way. They just wanted to help customers, not battle computers.

Living the Agent Reality

Six weeks embedded with agents revealed the emotional and cognitive toll of fragmented systems

Full-shift embedding
Emotional journey mapping
Agent life history interviews
System crash documentation
Workaround ethnography

The Systemic Pattern Recognition

My Political Science training revealed institutional forces creating agent suffering

Institutional analysis
Systems thinking mapping
Cross-departmental impact analysis
Agent interview synthesis
Organizational ethnography

Building Empathy Bridges

Translated agent reality into stakeholder understanding through strategic storytelling

Stakeholder empathy workshops
Role-playing exercises
Video testimonial creation
Data storytelling
Executive education sessions

Co-Designing with Agent Expertise

Agents became design partners, not just research subjects, shaping every solution decision

Participatory design workshops
Agent advisory panels
Continuous validation cycles
Co-creation sessions
User-driven prioritization

Workflow Demonstration: Agent Experience

Agent Case Resolution Workflow

Experience the streamlined process that reduced case handling time from 14.5 to 7.2 minutes

Step 1 of 5
Instant Agent Confidence: No More Information Hunting

Instant Agent Confidence: No More Information Hunting

1/5

Agent receives call and immediately sees everything: customer name, Premier status, recent flights, previous cases. No more 'Can you hold while I look that up?' The agent starts strong: 'Hi Sarah, I see you're a Premier Gold member and this is about your Denver flight yesterday.'

Click thumbnails to jump to step

Agent Personas: The Human Reality

Our research with 18 customer service agents across Chicago and Houston revealed three distinct personas, each facing unique challenges with the fragmented system landscape.

The Private Investigator

Peggy Priceworth

Background: 55, 18 years with United (7 in Customer Care), AA degree

Main Struggles: System crashes, switching between 4-7 programs, manual pen-and-paper processes, extensive validation needs

Goal: Clear the queue by end of day while staying empathetic to customers

Remote Team Manager

Debbie Santos

Background: 56, 32 years with United (9 in Customer Care), BA in Social Work, handles top 1% customers

Main Struggles: KANA crashes, repeat offenders gaming the system, switching between 4-9 programs

Goal: Lead Global Services, provide case assistance, delegate complex complaints

The New Hire

Irene Lewis

Background: 61, 20 years with United (6 months in Customer Care), new to sector

Main Struggles: Meeting requirements, "hopping around too much," frequent crashes, difficulty getting validated responses

Goal: Learn systems while maintaining service quality despite stress and confusion

Culture & Environment

Organizational Culture
  • • Strong team spirit and collaboration
  • • “Team & Family Values” mentality
  • • High loyalty to United (20+ years common)
  • • Agents are dedicated despite tool frustrations
Physical Environment
  • • Cubicle-based workspace
  • • No windows, artificial lighting
  • • Close proximity to colleagues
  • • Friendly, supportive atmosphere

The Solution: Ending Agent Suffering, Creating Agent Success

From Agent Pain to Agent Power

Every design decision started with one question: “How does this eliminate something that makes agents' jobs harder?” We weren't building a dashboard—we were building an agent empowerment platform that turned their biggest frustrations into their greatest strengths.

Agent Validation Sessions

We tested every feature with agents using real scenarios. Their feedback shaped every iteration:

“This is the first time I've felt like the computer is actually helping me instead of fighting me.”
“I can actually look the customer in the eye now instead of staring at 5 different screens.”

Agent-First Design Strategy

0→1
System Consolidation

One unified workspace replaced 13 fragmented systems

0%
AI Enhancement

Smart recommendations replaced manual rule interpretation

0%
Automation Level

Pre-populated data eliminated repetitive typing

Agent-Centered Solution Features

360° Unified Customer View

How This Solved Agent Problems:

Before: "I'd spend 2-3 minutes per call just finding basic customer info—clicking through KANA for history, MileagePlus for status, ezCare for previous cases. While I'm hunting for data, the customer is getting more frustrated."

Agent-First Solution:

Everything agents needed appeared instantly in one left-panel view: customer name, loyalty status, recent flights, previous interactions, and current trip details. No more hunting, no more "Can you hold while I look that up?"

Agent Impact:

Agents could start helping immediately: “I see you're a Premier Gold member and this is about your Chicago to Denver flight yesterday.” Confidence from day one, even for new hires.

AI-Powered Predictive Compensation

How This Solved Agent Problems:

Before: "I'd panic with compensation calculations. Check the fare class, cross-reference delay time, look up DOT rules, calculate voucher amounts... One mistake could mean a regulatory violation or angry supervisor."

Agent-First Solution:

The AI analyzed flight disruptions, passenger fare, and loyalty status to present 3 clear options: "Best Value (Voucher)," "Fastest Resolution (Miles)," "Highest Satisfaction (Hotel + Meals)." No math, no rule-book diving.

Agent Impact:

Agent feedback: “I went from dreading compensation calls to feeling confident I'm doing right by both the customer and United. The AI became my expert backup.”

Standardized & Streamlined Workflows

How This Solved Agent Problems:

Before: "Every case meant retyping customer names, flight numbers, dates... then writing responses from scratch, hoping I got the legal language right. So much time on data entry instead of actually helping."

Agent-First Solution:

Forms pre-populated with known information. Professional, legally-vetted response templates that agents could personalize. Click, customize, send—instead of type, stress, revise.

Agent Impact:

Eliminated repetitive data entry that frustrated agents daily. More time for empathy and problem-solving, less time battling forms and formats.

Real-time Flight Context Translation

How This Solved Agent Problems:

Before: "FLIFO would show cryptic codes like 'DLAY 120 WX ORD' and I'd have to decode: 'Delayed 2 hours due to weather in Chicago.' Under pressure, mistakes happened."

Agent-First Solution:

Translated cryptic flight data into clear English: "Flight UA456 from Chicago to San Francisco is delayed 2 hours due to weather conditions at O'Hare Airport." Human-readable, instantly understandable.

Agent Impact:

No more decoding pressure. Agents could speak naturally to customers with accurate, current information, building trust from the first moment of the call.

Agent Workflow: Before vs After

Before: The “Swivel Chair” Nightmare
  • • Open 13 different systems at shift start (5+ minutes)
  • • Search customer in KANA (load time: 15+ seconds)
  • • Switch to MileagePlus for loyalty status
  • • Open ezCare to create case
  • • Manually type all customer/flight information
  • • Decode FLIFO flight data
  • • Calculate compensation manually (error-prone)
  • • Write response from scratch
  • • Switch back to systems to log/close case
Result: 14.5 minutes per case, exhausted agents
After: Unified Agent Dashboard
  • • Single sign-on to unified dashboard
  • • Customer info auto-loads from caller ID
  • • All data visible in one screen
  • • Case forms pre-populated
  • • Flight status in plain English
  • • AI suggests 3 compensation options
  • • Select and customize response template
  • • Auto-log and close case
Result: 7.2 minutes per case, confident agents

Agent Experience Transformation

-25 → +42
Agent Satisfaction Transformation
67-point Net Promoter Score improvement

“Before the dashboard, I dreaded coming to work. Juggling 13 systems while angry customers waited was pure stress. Now I feel confident and capable again. I can actually help people instead of fighting technology.” — Customer Service Agent

85%
Stress Reduction
Agents report less job stress
92%
Feel More Confident
In resolving customer issues
78%
Career Satisfaction
Would recommend job to others
91%
Cognitive Load Relief
Fewer context switches
“I can actually sleep at night now. No more anxiety about making mistakes with compensation rules or missing important customer information. The dashboard has my back.”
— Senior Customer Service Agent, 8 years experience
“New trainees are becoming productive in weeks instead of months. We're not just surviving our shifts anymore—we're thriving and actually helping customers the way we always wanted to.”
— Training Supervisor, Customer Care

Design System: Building for Scale

The unified dashboard required a comprehensive design system that could accommodate complex aviation workflows while maintaining simplicity for agents. Every component was designed with accessibility, performance, and international localization in mind.

Detailed view of unified agent dashboard showing customer profile, flight information, loyalty status, and case management tools in a single consolidated interface
Complete agent workspace displaying all expandable interface cards including customer information, flight status, compensation options, response templates, and case tracking
Customer care case management table displaying streamlined workflow with automated status tracking, priority levels, case categorization, and resolution metrics

Key Features in Detail

The unified dashboard delivered six critical features that transformed agent productivity and customer experience:

Ended the Exhausting System Jumping That Drained Agents
Agent Problem: 'I'd lose my train of thought switching between 13 systems, manually copying customer info from one screen to another while passengers waited.' Our Solution: Everything appeared on one screen instantly—customer history, flight details, loyalty status. Agent Impact: 'I could actually focus on the customer instead of hunting for their information.' Business Result: 30 seconds saved per customer lookup, 250% faster case resolution.
Gave Agents Confidence in Complex Compensation Decisions
Agent Problem: 'I'd panic with compensation rules—check fare class, delay time, DOT regulations, calculate amounts. One mistake meant trouble.' Our Solution: AI analyzed all factors and presented 3 clear options: Best Value, Fastest Resolution, Highest Satisfaction. Agent Impact: 'The AI became my expert backup. I went from dreading compensation calls to feeling confident.' Business Result: 99.8% compliance rate vs 82% before.
Eliminated Repetitive Data Entry That Frustrated Agents
Agent Problem: 'So much time typing customer names, flight numbers, dates over and over. Then writing responses from scratch, hoping I got the legal language right.' Our Solution: Forms pre-populated with known data, professional templates that agents could personalize. Agent Impact: 'More time for empathy and problem-solving, less time battling forms.' Business Result: 50% reduction in case handling time.
No More Decoding Cryptic Flight Data Under Pressure
Agent Problem: 'FLIFO showed codes like DLAY 120 WX ORD and I'd have to decode: Delayed 2 hours due to weather in Chicago. Under pressure, mistakes happened.' Our Solution: Translated everything to clear English: Flight UA456 is delayed 2 hours due to weather at O'Hare. Agent Impact: 'I could speak naturally to customers with accurate information from the first moment.' Business Result: Eliminated interpretation errors, improved customer trust.
Enabled Personal Connection From the First Second
Agent Problem: 'I'd sound robotic asking basic questions I should already know—their name, status, what they're calling about.' Our Solution: Instant access to customer profiles, recent travel, interaction history. Agent Impact: 'I could start with Hi Sarah, I see you're Premier Gold and this is about your Denver flight. Customers felt heard immediately.' Business Result: Higher satisfaction scores, stronger loyalty.
Protected Agents From Compliance Stress and Error Anxiety
Agent Problem: 'I'd worry constantly about making mistakes—underpaying and getting the airline fined, overpaying and getting in trouble with my supervisor.' Our Solution: Automated compliance calculations, pre-approved templates, error prevention built in. Agent Impact: 'I could focus on helping customers instead of second-guessing every decision.' Business Result: Reduced DOT violation risk, $12M in operational savings.

Implementation Roadmap: Phased Delivery Strategy

The project was structured across multiple phases to ensure rapid value delivery while managing complexity and risk across United's global operations.

1

Pre Work (Apr-May, 7 weeks)

Foundation & Architecture

Design Deliverables
  • • MVP design refinement and documentation
  • • Style guide documentation
  • • Micro-interactions documentation
Technical Foundation
  • • Application architecture definition
  • • Historical data collection & analysis
  • • AI model development (classification & compensation)
2

MVP Build (Jun-Sep, 20 weeks)

Core Dashboard Functionality

Key Features
  • • Case management (pull, view, notes, close)
  • • Pre-populated customer & flight information
  • • AI compensation recommendations
  • • Template-based response system
System Integrations
  • • KANA & ezCare integration
  • • Agent authentication system
  • • Customer profile database
  • • HTTPS calls from united.com
3

Cycle 1 & 2 (Oct-Nov, 8 weeks)

Advanced Features & Automation

Enhanced Capabilities
  • • Multi-passenger trip servicing
  • • Outbound call integration
  • • Advanced compensation algorithms
  • • Automated policy responses
Future Releases
  • • Voicemail transcription
  • • Historical case search
  • • Language translation
  • • Emotion & sentiment KPIs

Expected Outcomes by Phase

MVP Success Metrics
  • • Increased UPH (Units Per Hour)
  • • Integration of eZcare + KANA
  • • Reduction in research time
  • • Consistent brand delivery
Cycle 1 Impact
  • • Extended brand messaging
  • • Continued UPH improvement
  • • AI model effectiveness benchmarks
  • • Multi-customer support capability
Long-term Vision
  • • Process automation at scale
  • • Improved response consistency
  • • Enhanced efficiency & accuracy
  • • Comprehensive system integration

Results: When Agents Succeed, Business Succeeds

The United Airlines dashboard transformation demonstrates a fundamental truth: when we prioritize agent experience and dignity, extraordinary business results follow naturally. The human impact drove the business impact.

The Success Cascade: Agent Experience → Business Results

1. Agent Experience Improved
  • • 67-point NPS improvement (-25 to +42)
  • • 85% reduction in job-related stress
  • • 92% feel more confident in their role
  • • 78% would recommend the job to others
2. Performance Naturally Followed
  • • 250% improvement in case resolution
  • • 50% reduction in handling time
  • • 99.8% compensation accuracy
  • • 91% fewer context switches
3. Business Value Realized
  • • $4.3M annual value in reclaimed hours
  • • Multi-million dollar contract expansion
  • • Regulatory compliance protection
  • • Customer satisfaction improvement

Complete Impact Analysis: Agent Success Driving Business Success

Agent Experience MetricBeforeAfterHuman ImpactBusiness Result
Agent Satisfaction (NPS)-25+42Agents feel valued & capableReduced turnover & training costs
Cognitive Load (Context Switches)~11 per case1 per caseLess mental fatigue & stress250% resolution rate improvement
Confidence in Compensation Rules82% accuracy99.8% accuracyAgents trust their decisionsRegulatory compliance protection
Time to Help Customers14.5 min avg7.2 min avgMore meaningful interactions$4.3M in reclaimed hours annually
Training & OnboardingMonths to proficiencyWeeks to proficiencyReduced new hire anxietyFaster ROI on hiring

Stephen's Design Leadership Impact

Agent-Centered Design Strategy
  • • Led ethnographic research sessions with 50+ agents
  • • Designed agent-first workflows that reduced cognitive load
  • • Created AI-powered compensation feature that eliminated agent stress
  • • Ensured every interface decision prioritized agent confidence
Business Value Creation
  • • Translated agent pain points into measurable business metrics
  • • Designed features that delivered $4.3M annual value
  • • Created success story that secured multi-million dollar contract expansion
  • • Established IBM as strategic partner, not just vendor

Agent Success Stories

“I went from dreading every shift to actually enjoying my work. When you can help customers efficiently and confidently, it changes everything about the job.”
— Customer Service Agent, Houston Call Center
Business Impact: This agent's team saw 40% improvement in customer satisfaction scores.
“The dashboard made me feel like a professional again, not just someone clicking through screens. I can focus on what I'm good at—helping people.”
— Senior Agent, Denver Operations
Business Impact: Senior agents became mentors, reducing training costs by 30%.
“This transformation didn't just improve our tools—it restored dignity to our agents' work. When agents feel capable and confident, customers feel it too. That's the real ROI.”
— VP of Customer Experience, United Airlines

Departmental Scalability: Beyond Customer Care

Following the success of the core customer care dashboard, United evaluated Co-pilot's alignment across multiple departments, revealing opportunities for enterprise-wide transformation.

High Value / Low Effort

MileagePlus

As-Is Pain Points: "Endless queue," "Too many tools to use," "SO MANY SYSTEMS," KANA freezes, constant IMs for help, brain overload. Agents are overwhelmed and impatient.

To-Be Scenario: "As a MileagePlus Agent, I have the ability to log on to one system with SSO. The system provides information on the passenger and any case history. I am able to chat with other groups that may have touched the case prior to better resolve any issues and provide real-time assessment and resolution for the passenger. This allows me to manage my day and focus on solving the problem rather than chasing down the details."

Social Care

To-Be Scenario: "As a Social Care associate, I have the ability to log on to a system that gives me insight on the customer that allows me to link a social aspect to a case that enables Customer Care agents to have a view in to social data."

High Value / Medium Effort

Corporate Customer Care

To-Be Scenario: "As a Corporate Customer Care representative, I have the ability to log on to one, stable system with SSO. The tool provides a prioritization for the day based on case hierarchy along with easy-access to critical information that may influence customer interactions. The system will proactively provide the necessary research on a case, including insight on the customer. This allows me to focus my time and energy on the best resolution and care for the passenger."

Refunds

To-Be Scenario: "As a Refunds Processor, I have the ability to log on to one system with SSO. The system serves up information in three key areas — hot topics, case priorities, and passenger data. This allows me to anticipate issues/needs, manage my day and time, and validate information without further research time. The system will also allow me to resolve customer requests with a templated — yet editable — form."

Medium Value / Medium Effort

Baggage Resolution

To-Be Scenario: "As a Baggage Resolution representative, I will have visibility into data about a bag — earlier and more often. Having that information available to the baggage department and customer care reps would be an improvement to the customer care experience by proactively providing compensation to the passenger until we located and reunited passenger with the luggage."

Strategic Expansion Potential

The departmental analysis revealed that the core design patterns and AI capabilities developed for customer care could be adapted across United's entire service ecosystem. This positioned the dashboard not as a single-purpose tool, but as a scalable platform for enterprise-wide agent empowerment, potentially impacting thousands of employees across multiple continents.

My Role: Lead UX Designer & Agent Advocate

As Lead UX Designer from IBM iX, I owned the end-to-end design process for this transformational project. My role evolved from design execution to becoming the primary advocate for agent needs within the stakeholder ecosystem.

Primary Responsibilities

  • Ethnographic Research Lead: Designed and conducted extensive field research, spending 80+ hours embedded with agents across multiple shifts to understand their daily reality and pain points.
  • Workshop Facilitator: Led 2-day co-creation workshop with 15+ stakeholders, translating agent insights into actionable design requirements while managing competing priorities.
  • Information Architect: Deconstructed 13+ legacy systems into a unified information architecture, mapping data flows and identifying consolidation opportunities.
  • Prototyping Lead: Created high-fidelity interactive prototypes for usability testing and stakeholder alignment, iterating based on agent feedback.

Unique Contributions

  • Agent Advocacy: Became the primary voice for agent needs in executive meetings, using ethnographic evidence to justify design decisions and secure resources.
  • Regulatory Translation: Converted complex DOT regulations into intuitive UI patterns, ensuring compliance while maintaining usability.
  • Stakeholder Alignment: Bridged communication gaps between technical teams, business stakeholders, and front-line agents throughout the project lifecycle.
  • Business Case Development: Translated user experience improvements into quantifiable business metrics, securing executive buy-in for the project.

Personal Ownership

While this was a collaborative effort, my specific contributions included: designing the unified information architecture, creating the AI-powered compensation flow, conducting all ethnographic research sessions, and developing the human-centered design methodology that became the foundation for IBM iX's approach to enterprise UX. The agent advocacy role emerged organically as I became their most trusted voice in stakeholder meetings.

Career Growth: From Newcomer to Agent Advocate

This project marked a pivotal transformation in my career—from a new IBM iX team member to a trusted agent advocate and systems thinker. It shaped my fundamental approach to enterprise UX design.

Political Science Advantage

My political science background proved unexpectedly valuable in understanding the institutional dynamics at play. United's customer service organization operated like a complex bureaucracy with competing interests—regulatory compliance, cost control, customer satisfaction, and agent welfare. This institutional perspective helped me navigate stakeholder politics and build coalitions for change, treating design as both a technical and political challenge.

Learning Regulatory Design

Initially, DOT regulations felt like creative constraints. However, I learned to view them as design requirements that could drive innovation. This experience taught me that regulatory compliance doesn't have to compromise usability—it can actually enhance it by forcing clarity and consistency. The AI-powered compensation feature emerged directly from this mindset shift, turning regulatory complexity into a competitive advantage.

Embedded Research Methodology

Traditional user interviews would have missed the crucial insights that came from sitting with agents during their most stressful moments. Watching an agent struggle with multiple systems while a frustrated customer waited taught me the value of ethnographic embedding. This approach became my signature methodology for understanding complex work environments—not just what people say they do, but what they actually experience in their daily reality.

Business Language Fluency

This project taught me to translate UX value into business metrics that executives understood. Instead of arguing for "better user experience," I learned to speak about "reduced average handling time" and "improved first-contact resolution rates." This shift from designer language to business language opened doors to more strategic conversations and greater influence in the design process.

From Newcomer to Advocate

When I started this project, I was the newest member of the IBM iX team. By the end, I had become the go-to voice for agent needs in stakeholder meetings. This transformation happened because I invested time in understanding agents' daily reality and could speak authentically about their challenges. It established my reputation as a designer who puts human needs first, which became the foundation of my career trajectory.

Design Philosophy: Systems Thinking Meets Human Empathy

This project crystallized my core design philosophy: complex enterprise challenges require both systems thinking and deep human empathy. Technology should amplify human capability, not replace human judgment.

Systems Thinking Applied

Holistic Problem Framing

Rather than treating the dashboard as a UI problem, I approached it as a complex system with multiple interdependencies—technology, people, processes, regulations, and business objectives all had to align.

Information Architecture

Deconstructing 13 legacy systems revealed patterns and redundancies that guided our unified design. This systems perspective was essential for creating coherent user experiences from fragmented data sources.

Stakeholder Ecosystem

Understanding the relationships between agents, supervisors, IT teams, compliance officers, and executives was crucial for designing solutions that worked for everyone.

Human-Centered Foundation

Ethnographic Embedding

Deep immersion in agents' daily reality provided insights that traditional research methods would have missed. This embedded approach became my signature for understanding complex work environments.

Amplifying Human Capability

The AI-powered compensation feature exemplified this philosophy—using technology to enhance human decision-making rather than replacing human judgment entirely.

Advocacy Through Design

Design became a form of advocacy—using evidence and prototypes to argue for solutions that genuinely improved agents' working conditions and career satisfaction.

Lasting Impact on My Practice

This project established my core methodology: start with deep human empathy, apply systems thinking to understand complexity, translate insights into business value, and advocate relentlessly for the end users. It's an approach that has guided every enterprise project since, ensuring that technological solutions serve human needs rather than the other way around.

Personal Reflection: Lessons in Enterprise UX

This project was a formative experience that taught me three crucial lessons about designing effective solutions for complex, high-stakes enterprise environments.

Constraints Inspire Innovation

Initially, the dense web of DOT regulations seemed like a creative limitation. However, it ultimately became a catalyst for our most innovative feature. Instead of treating the rules as a barrier, we embraced them as a core design requirement. This forced us to think beyond simple UI improvements and led to the AI-powered compensation feature—a solution that used technology not to bypass the rules, but to ensure compliance with them elegantly and effortlessly.

Empathy Drives Adoption

There is a world of difference between reading a report about agent pain points and sitting next to an agent for an eight-hour shift, feeling their palpable stress as they wrestle with a broken system to help a stranded family. That deep, firsthand empathy was the essential fuel for this project. It armed us with the stories and evidence needed to align stakeholders and, most importantly, it earned us the trust of the agents themselves.

Business Value Validates Design

In an enterprise context, a beautiful and usable interface is not enough; it must deliver measurable value. From the outset, we framed our design decisions in terms of their potential impact on key business metrics like "average case handling time," "first-contact-resolution," and "regulatory compliance." This approach allowed me to have more strategic conversations with stakeholders, justifying our design choices on their ability to move the needle on the KPIs that mattered most.

Career-Defining Success

The overwhelming positive results and clear ROI we delivered for United served as powerful testament to IBM's capabilities, solidifying our position as a trusted strategic partner. This success was the primary proof point that led directly to United signing a new, multi-million dollar follow-on contract for IBM iX to redesign the dashboard for airport rebooking and gate agents—transforming a single project into a long-term, high-value client relationship and establishing my reputation as a designer who delivers business value through human-centered solutions.

The Long-Term Impact: Contract Expansion and Enterprise Adoption

The agent-first design approach didn't just solve immediate problems—it transformed United's entire approach to customer service technology and established a foundation for enterprise-wide adoption.

Business Impact: What Agent Success Delivered

$4.3M
Annual Value
In reclaimed agent hours
250%
Resolution Rate
From 2 to 7 cases per hour
Multi-Million
Contract Expansion
Gate agent dashboard project
Enterprise
Adoption
Across multiple departments

The Success Chain: How Agent Experience Drove Business Results

1
Agent Stress Reduction

67-point NPS improvement created confident, capable agents who could focus on customer service instead of system navigation.

2
Performance Breakthrough

Confident agents achieved 250% improvement in case resolution and 50% reduction in handling time—unprecedented efficiency gains.

3
Customer Satisfaction Surge

Faster, more accurate service led to higher customer satisfaction scores and reduced complaint volume.

4
Strategic Partnership Formation

Measurable ROI and agent transformation established IBM as trusted strategic partner, leading to multi-million dollar contract expansion.

Stephen's Design Leadership: From Agent Pain to Business Gain

Human-Centered Design Approach
  • • Conducted 50+ hours of agent shadowing and interviews
  • • Translated agent frustrations into measurable business metrics
  • • Designed AI-powered compensation feature that eliminated agent anxiety
  • • Created unified interface that reduced cognitive load by 91%
Business Value Delivered
  • • Achieved $4.3M annual value through agent efficiency gains
  • • Delivered 250% improvement in case resolution rates
  • • Created proof point that secured multi-million dollar follow-on contract
  • • Established design framework adopted across multiple United departments

The Ripple Effect: Beyond Customer Care

Enterprise-Wide Transformation: United recognized that the agent-first design principles could transform their entire service ecosystem. The success of the customer care dashboard became the foundation for redesigning systems across MileagePlus, Corporate Customer Care, and Baggage Resolution departments.

Strategic Partnership Value: For IBM, this project evolved from a single dashboard implementation into a multi-year, multi-million dollar strategic partnership. The measurable ROI and agent transformation we delivered established IBM as United's trusted partner for enterprise-wide digital transformation.

Industry Recognition: The project became a case study in human-centered enterprise design, demonstrating that prioritizing employee experience creates measurable business value—a approach that influenced how United approached all subsequent technology implementations.

“Stephen's team didn't just design a dashboard—they designed a new way of thinking about our agents and customers. The business results followed naturally from that human-centered approach.”
— Director of Customer Experience Technology, United Airlines

Reflections: What Agents Taught Me About Design

Personal Reflections

0%
Constraint-Driven Innovation

Embraced DOT regulations as a catalyst for innovative AI-powered compensation

0.0 weeks
Ethnographic Immersion

Deep, firsthand empathy with agents earned trust and drove adoption

M0
Business Value Translation

Framed design decisions in terms of measurable business impact

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