Rethinking Uber: A User-Centric Critique of a Feature-Oriented Ecosystem
Travel, Food
Rethinking Uber: A User-Centric Critique of a Feature-Oriented Ecosystem
Exploring how a growing ecosystem affects user experience, and how alternate approaches could offer better scalability for users.
Project Overview
This critique explores the evolution of Uber’s app ecosystem, identifying fragmentation issues caused by a feature-oriented structure. It proposes a user-centered alternative, focused on simplifying navigation, reducing app sprawl, and leveraging contextual experiences across services.
Problem Statement
Uber has grown from a car-sharing app to an expansive platform offering food delivery, freight, and even grocery services. While this modular expansion supports business scalability and internal team structures, it results in fragmented experiences for users. Multiple apps, inconsistent navigation patterns, and overlapping services increase cognitive load and reduce usability.
Industry
Travel, Food
My Role
Senior Product Designer
Platforms
Web and Mobile
Timeline
May 2022
Persona

Aisha Bellam
Freelance Photographer
A tech-savvy urban user juggling multiple services: rides, food, and package delivery through Uber’s ecosystem.
Age: 34
Location: Montreal, Canada
Tech Proficiency: High – uses mobile apps daily
Gender: Female
Goal
Get around the city quickly without toggling between apps.
Order food or deliver a package from the same familiar interface.
Rely on location-based shortcuts and history to speed up common actions.
Frustrations
Navigating across multiple apps for different services.
Difficulty locating places that aren’t easily searchable by address.
Confusion around product boundaries (e.g., ordering Uber to move furniture vs. Uber Freight).
Process
Outcome
Unified experience reduced app-switching and created a stronger sense of flow between services.
Map-based interaction led to faster access to relevant features, increasing task success rate and satisfaction.
Context-aware UI surfaced appropriate services at the right time, reducing friction and cognitive load.
Key Learnings