Pooria Hassanzadeh

Understanding Drivers’ Decisionsto Improve Accessibility Ride Acceptance

A mixed-method UX research project exploring how drivers perceive wheelchair-ride requests, and how to improve acceptance rates for passengers with disabilities.

  • Explorative Research
  • Interview
  • Content Analysis
  • Accessibility

POORIA HASSANZADEH

2023

Figure 1:
personal setting on passenger app.

Snapp

Snapp introduced an accessibility toggle for passengers with disabilities (wheelchair users, hearing-impaired riders, etc.). Drivers see a badge on the ride request, and these trips are commission-free to encourage participation.
but drivers cancel rides with wheelchair badge at higher rates:

  • 15% cancel after accepting the request (vs. 6% for normal rides)
  • 3% cancel after reaching pick-up (vs. 2% for normal rides)
Figure 2:
driver offer page with a wheelchair badge.

Problem:

Lower acceptance hurts both brand reputation and ride completion rates, despite incentives.
so the company wants to know:
Why do drivers hesitate or reject ride with wheelchair?
how can we redesign the experience to improve acceptance and passenger satisfaction?

Research Questions:

Why do drivers reject or cancel accessibility rides?

  • What challenges do wheelchair passengers face during trip requests?
  • How might we improve the matching, communication, and experience for both parties?

Goal

Increase acceptance rates and satisfaction scores for wheelchair users on Snapp.

My Role & Team:

I led this project as the sole UX Researcher, collaborating closely with:

  • Product Manager
  • UX Writer
  • Product Designer
  • PR & CSR Specialists


I was responsible for planning, executing, analyzing, and presenting research, driving evidence-based product changes.

Content Analysis:

Figure 3:
Raw data-content analysis
Figure 4:
analyzed chart-content analysis

Top 5 reported issues:

No reliable filter or selection for wheelchair vehicles (24%)

  1. Driver cancellations after seeing a wheelchair (23%)
  2. Cars without enough space or ramp (22%)
  3. Poor support and unclear solutions (14%)
  4. Lack of trained or prepared drivers (9%)
Figure 5:
Top reported issues

these data helped us to be more familiar with users problems and let us to create better question to dig dive into root problems.

Passenger quote:

“I always need a family member at pickup or drop-off because most drivers can’t help me. I feel worried every time I have to ask them for assistance.”

Interview with Passengers.:

Key Findings:

Emotional Impact: Feelings of exclusion and frustration lead to switching apps or traditional taxis.

  • Money Consuming: Passengers sometimes offer drivers up to 2x the fare to avoid being rejected.
  • Physical Effort & Cultural Barriers: Difficulty transferring to car seats; some drivers or passengers feel uncomfortable due to cultural/religious norms around physical assistance.
  • Unreliable Arrival Times: Longer wait times when drivers hesitate or cancel last-minute after realizing accessibility needs.
  • Safety Concerns During Boarding: Fear of injury due to lack of ramps, proper securing, or trained assistance.
  • Hospital Trip Rejections: A large number of ride requests to hospitals are declined by drivers, who worry about the passenger’s condition or potential liability.

Interview with Drivers.

Figure 3:
Raw data-content analysis

Figure 4:analysis interviews findings with the team (UXDesigners, UXWriter, Product manager)

Keyfindings:

Limited Vehicle Space: Many sedans can’t fit larger or non-foldable wheelchairs.

  • Cleanliness Concerns: Drivers fear wheelchairs may dirty or damage their cars, affecting future rides and ratings.
  • Physical Assistance Barriers: Some drivers are unable or unwilling to help passengers board due to health, cultural, or personal reasons.
  • Extra Time Needed: Onboarding/offboarding takes longer, reducing earnings per hour.
  • Difficult Pickups: Poor sidewalks, lack of ramps, or crowded streets make safe boarding challenging.
  • Lack of Ride Details: Drivers often don’t know wheelchair needs in advance, causing awkward last-minute cancellations.

Impact

Based on our research findings, Snapp implemented several product and operational improvements to increase accessibility ride acceptance:

Updated the ride-matching algorithm to prioritize drivers with sufficient vehicle capacity.

  • Added a fare badge highlighting higher compensation for accessibility rides.
  • Introduced a driver onboarding screen with guidelines on communicating with passengers with different accessibility needs.
  • Offered priority expensive offers to drivers who had successfully completed previous accessibility trips.
  • Included detailed ride information (wheelchair type, passenger gender, whether accompanied or alone) to help drivers make informed decisions.
Figure 7:
onboarding page for deaf passengers
Figure 8:
onboarding page for blind passengers.
Figure 9:
onboarding page for passenger with wheelchair
Figure 10:
Ride offer with accessibility badges.

by applying these tips, acceptance rate of these rides increased for 13% and offer rejection by driver backed to normal rides.

Thanks For Reading.

Pooria Hassanzadeh

2023