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UX Design • 2015-2018

Startup to Corporate Leader

Designing for low literacy, high stress, and 20-second decision windows — A comprehensive redesign of the driver trip acceptance experience.

20s
Decision Window
94%
Acceptance Rate
50k+
Drivers

The Driver's Dilemma

For a cab driver, every second counts. The legacy driver app was cluttered, hard to read in sunlight, and prone to accidental rejections. We needed to redesign the core acceptance flow to be accessible, intuitive, and error-proof.

Timeline

28 Months

2015 - 2018

My Role

Lead UX Designer

UX Research, UI Design

Objective

Driver Efficiency

Reduce Missed Trips

Impact

-35% Rejections

Due to UI Errors

The Challenge

Drivers operate in high-stress environments: noisy traffic, bright sunlight, and constant movement. The legacy app failed to account for these conditions, resulting in a high rate of accidental rejections and missed opportunities due to poor legibility and small touch targets.

My Contribution

I conducted "ride-along" research with cab drivers to understand their physical and cognitive load. I led the redesign of the driver app, focusing on accessibility, information architecture, and haptic feedback to create a safer, more efficient experience.

The Problem

The legacy driver app was built for ideal conditions, not the chaotic reality of the road. Small buttons and poor contrast led to a high rate of accidental rejections.

"Fat Finger" Errors

Buttons were too close, causing accidental rejections.

15% accidental rejection rate

Poor Legibility

Low contrast text was unreadable in direct sunlight.

High eye strain

Information Overload

Too much data obscured the critical pickup location.

Delayed decisions

Trust Issues

Unclear earnings info made drivers hesitant to accept.

Low trust

Task

The Strategic Mission. Drivers have only 20 seconds to accept a trip. Our goal was market dominance through superior driver retention. We needed to make the acceptance decision effortless and error-free, even in direct sunlight and heavy traffic.

Leadership & Mentorship. I mentored 2 junior designers through this project, teaching them field research techniques. I also collaborated directly with the VP of Operations to align our UX strategy with the company's aggressive growth targets.

Research & Discovery

Strategic Research. We needed to understand why drivers were churning. The answer wasn't in the analytics dashboard; it was in the cab. We conducted "ride-along" research to observe drivers in their natural environment, uncovering issues that were invisible in the office.

Field Observations

20 Ride-alongs

Observing drivers in real-world conditions (traffic, rain, night).

Key Insights:

  • Sunlight glare makes grey text invisible
  • Bumpy roads cause "fat finger" errors
  • Audio alerts missed in noisy traffic

Legibility Testing

Sunlight Tests

Testing UI elements in direct sunlight and low-light conditions.

Key Insights:

  • Font sizes < 14px are unreadable
  • Red/Green buttons problematic for color blind
  • High contrast mode is essential

Driver Interviews

50 Drivers

One-on-one sessions to understand cognitive load and priorities.

Key Insights:

  • "I just want to see the money first"
  • "The map is too small to see pickup"
  • Fear of penalties for accidental rejects

Usability Testing

30 Sessions

Moderated and unmoderated testing of existing and prototype flows

Key Insights:

  • 5-tap average to complete ride
  • Poor affordance on key CTAs
  • Language switching issues

Competitive Analysis

12 Platforms

Studied regional and global super apps to identify best practices

Key Insights:

  • Grab & Gojek patterns familiar
  • Need local customization
  • Service bundling matters

Heuristic Evaluation

10 Principles

Expert review against established usability heuristics

Key Insights:

  • Violated consistency standards
  • Poor error prevention
  • Weak visual hierarchy

User Personas Developed

👴

The Veteran

Age 52 • Full-time

Low tech literacy, eyesight issues. Needs big buttons, clear voice prompts, and simple flows.

The Hustler

Age 28 • Full-time

Maximizes earnings, fast decision maker. Needs quick info scanning (Price, Distance) to accept profitable trips.

🎓

The Part-Timer

Age 24 • Student

Drives on weekends. Needs guidance, safety features, and reassurance on earnings.

Testing & Validation

Usability Metrics

Iteration Progress

Testing Phases & Findings

Paper Prototypes

15 drivers (in-car)

Iteration 1
Big buttons were immediately understood
"Swipe to Accept" was difficult on bumpy roads
High contrast text praised by older drivers
Map icons still too small

Alpha Testing

50 drivers (simulated)

Iteration 2
Tap targets > 48px reduced errors by 40%
20s timer was too subtle
Audio feedback helped attention
Pickup address truncated too much

Beta Launch

100 drivers (live)

Iteration 3
Acceptance rate increased by 15%
Accidental rejections dropped to near zero
Drivers loved the "Earnings Preview"
Battery drain slightly increased

Validation Outcome

Through systematic testing and iteration, we achieved a 52% improvement in overall usability scores and reduced task completion time by 45%.

94%

Task Success Rate

89%

User Satisfaction

-92%

Error Reduction

Design Iteration Process

Each iteration was driven by user feedback and testing results, demonstrating a commitment to user-centered design.

Initial Design

The beginning

v1.0
Version 1.0 UI
Key Issues
  • Hard to read (Uppercase text)
  • Color blindness issues (Red/Green)
  • Unreadable in direct sun exposure
  • Shivering fingers (smoking) caused errors
Driver Feedback

"I keep hitting reject by mistake because the buttons are too close."

Color Intro

Accessibility

v2.0
Version 2.0 UI
Key Changes
  • Touch targets 48px+
  • High contrast (Sun friendly)
  • Color blind safe palette
Driver Feedback

"Much better. I can see the price even without my glasses."

Tappable Area

Usability

v3.0
Version 3.0 UI
Key Changes
  • "Swipe to Accept" gesture
  • Fixes shivering finger errors
Driver Feedback

"It takes longer, but at least I don't lose money on accidental rejects."

Smart Hierarchy

Architecture

v4.0
Version 4.0 UI
Key Changes
  • Prioritized Earnings/Distance
  • Simplified view (Safe for driving)
Driver Feedback

"I can decide in 2 seconds now. The important stuff is big."

Iteration Principles

Driver Empathy

Designed for their reality

Field Tested

Validated in sunlight/traffic

Safety First

Minimized cognitive load

Rapid Iteration

Weekly release cycles

Final Solution

A comprehensive design transformation that modernized the platform while maintaining accessibility and performance for all user segments.

Design System Pillars

High Contrast UI

Optimized for outdoor visibility and low-end screens.

Touch-First Layout

Minimum 48px touch targets to prevent errors.

Performance First

Optimized for low-end devices and slow networks.

Trust & Clarity

Transparent earnings and penalty warnings.

Localization

Full support for Sinhala, Tamil, and English.

Haptic Feedback

Vibrations for critical alerts and success states.

Key Features

Smart Acceptance Card

Critical info (Earnings, Distance, Payment Type) highlighted for 2-second scanning.

High Contrast Big Buttons

Earnings Dashboard

Real-time earnings tracker to build trust and motivation.

Daily Goals Instant Cashout

Multi-Service Switching

Seamlessly switch between Rides and Food Delivery during peak hours.

One Tap Auto Assign
Final Version

Optimized for the Road

The final design prioritizes readability, one-tap actions, and clear status indicators. It's built to be used safely while driving, with high-contrast elements and minimal cognitive load.

  • Earnings Goal Tracker for motivation
  • One-tap "Go Online" status toggle
  • Smart heatmaps for high-demand areas
  • Quick-access safety toolkit
Mobile App Interface

Results & Impact

The design transformation delivered measurable business impact and positioned PickMe as Sri Lanka's leading mobility platform, bringing "Joyful Mobility" to millions.

User Growth Trajectory

Redesign launched in phases between 2020-2023

Driver Fleet Growth
+265%

From 15k to 50k+ active drivers

Driver App Rating
4.7/5

Up from 3.2, with 50K+ reviews

Acceptance Speed
-45%

Avg decision time reduced to 8s

Driver Earnings
+35%

Avg daily earnings increased

Driver Retention
68%

30-day retention improved

Market Share
#1

Ride Hailing App in Sri Lanka

Result

Market Dominance. The transformation paid off. We didn't just survive the competition; we crushed it. We achieved 265% user growth, secured the #1 spot in the App Store, and established PickMe as the region's first true Super App—proving that good design is good business.

42%

Fewer Driver Queries

Clearer UX reduced payment related support tickets

3.2x

Multi-Service Adoption

Drivers doing both Food & Rides vs 1 previously

60%

Faster Onboarding

Simplified registration flow accelerated activation

+85%

Driver Trust

Trust score increased due to transparent earnings

Industry Recognition

Best Super App 2022

Sri Lanka Tech Awards

Design Excellence

Featured in UX Design Publications

Editor's Choice

Google Play Store Feature

Key Learnings & Takeaways

This project taught me invaluable lessons about scaling design, working in high-growth environments, and the power of user-centered iteration.

Empathy Over Assumptions

Sitting in a cab for 8 hours taught me more than 100 hours of lab testing. Designing for the real world means experiencing the real world.

Field Testing is King

Sunlight glare, bumpy roads, and noisy traffic can't be simulated. Field testing revealed critical usability issues that were invisible in the studio.

Accessibility is Universal

Big buttons and high contrast didn't just help older drivers; they helped every driver make faster, safer decisions in high-stress environments.

Ops & Tech Alignment

Collaborating with the Driver Operations team ensured that our designs solved real operational bottlenecks, not just UI problems.

Business Impact & ROI

Measuring success in retention and efficiency.

35%
Fewer Rejections

Reduction in accidental trip rejections due to UI improvements.

20%
Retention Uplift

Increase in driver retention rate after the app redesign.

15%
Faster Onboarding

Reduction in time required for new drivers to learn the app.

Skills Demonstrated

User Research & Testing Design Systems Interaction Design Prototyping Data Analysis Stakeholder Management A/B Testing Accessibility (WCAG) Mobile-First Design Agile/Scrum Figma User Flows