Designer | Researcher | Strategist
Screenshot 2023-12-14 at 10.38.48 PM.png

Collective Power: Ride-hail Ecosystem Research

 

Collective Power: Ride-hail Ecosystem Research


Through an Ethnography–led Design process, Collective Power summarizes a project where I explored opportunities for digital service design, to create driver-first offerings for all stakeholders in the ecosystem.



Research Objective:

  • Map the key stakeholders in the Ride-hail industry and recognize levers to influence driver behavior change and through better & informed driver to improve profitability.



Project Challenge:

  • How might we design digital and service touch points for a disorganized ecosystem to drive better incentives for drivers who spend most of their time on roads, to keep track of profitability?

Project Outcomes:

  • Use-case scenario video

  • Mobile app mockup

My Role:

  • User Research and Insights Synthesis

  • UX Design

  • Wire-framing

  • Low & Mid-fidelity Prototyping

Methodology:

  • Human Centered Design Research

Project Details:

  • Duration: 8 months

  • Completed: April 2021

  • Type: Thesis Project

 

Design Process:

Insights from ethnography research methods were used to inform design concepts and the different design approaches were validated with stakeholders during contextual inquiry sessions.

Stages of the Project:

Ethnographic Research:

Research was conducted with key stakeholders: drivers and riders using contextual inquiry.

I observed users in their environment to understand their activities, what tools they use in their daily work and how they interact with these tools.

This framework informed the analysis and made the research more meaningful than conducting in-depth interviews.


Research Area:

Summary of final data

Summary of Final Data

Data Collection and Synthesis

Understanding the Use of Tools:

Shown below is a spectrum of digital tools used in Ride-hail and the objectives of their use.

Gig-Economy Ecosystem

Research Synthesis : Analyzing Insights

Insights were collected and documented with quotes and organized into four categories.

  1. Profitable ride

  2. Fuel costs

  3. Full time driver

  4. Part-time driver

Insights:

  • Lack of features within Uber driver app to track and manage costs, leads to uninformed ride decisions to be profitable.

  • Gig workers resist the apps gamified algorithm through oppositional play, known as Surge.

  • Gig workers lack a community platform to share insights, strategies, and experiences to unlock income and work together.

Research Synthesis : Emerging Themes

After collating the qualitative data, key themes emerged. Themes relevant to the research objective and problem statement were prioritized to be presented as the voice of the stakeholders.

Co-creation workshop with stakeholders

Research Synthesis: Persona Profile

Synthesized research into key personas, to highlight goals, aspirations, frustrations, motivations, experience levers and discovered initial opportunity areas for digital service touch points.

Journey Map

Opportunity

• In an unorganized Ride-hail ecosystem, drivers incur large operating costs and are under-compensated for the long hours of work and low incentive. Apart from estimates, there is no standardized way to measure ride profitability and fuel consumption and incentivize drivers for their work.

• Combining digital tools could be utilized to improve decisions and communication channels for oppositional play using Surge.

• With better insights, strategies, and experiences, drivers could outsmart gig companies to unlock potential income.



Design Principles

Concept Storyboards:

Concept Storyboards Using "What-If" Scenarios—Collective Power: Airport use-case scenario

 

Evaluative Research: Concept Speed Dating

Flowchart:

Wireframe:

Lo-Fidelity Wireframe:

Defining the Features:

Final Concept Video


Reflections

What new questions did this project unearth for you?

What would it mean for designers to support a community-based pedagogy of AI/ML design? Could it encourage acts of collective power?

What you might explore further in the future?

When I started working on this thesis, my goal was to enable Rideshare drivers to understand their earnings better so that they can navigate through challenging situations related to their profit with confidence and feel empowered through self-awareness and knowledge.

Through my research, I learned that these limitations are a result of the gap between the needs of Rideshare drivers and the capabilities of gig worker tracking tools and crowd-sourcing.

Finding Common Ground

I learned that when working collaboratively with different knowledge areas it is easy to have conflicting views. It is when both parties understand each other’s perspective, are they able to find a common ground resolve to a solution.

Conducting interviews

The more interviews I conducted, the more I learned how to ask specific questions and have a level of control with moderation.