Ride-Hailing Passenger Experience Survey
Understand how urban passengers evaluate fares, compare arrival reliability, and choose between ride-hailing options across everyday trip contexts, so you can sharpen acquisition, pricing, retention, positioning, conversion, segmentation, and channel strategy.
CONTEXT & RELEVANCE
Why run this survey now
Most passengers don't abandon ride-hailing purely on price. They switch due to pickup uncertainty, surge pricing, driver cancellations, safety concerns, and support failures, none of which fully show up in app ratings or complaint logs.
If you are...
- Ride-hailing growth leaders
- Customer experience teams
- City operations managers
- Pricing and revenue strategists
RESEARCH THEMES
What This Survey Investigates
Eight interconnected research themes that map the complete passenger journey from trip need to post-ride loyalty.
Need & Triggers
- Trip occasion and urgency
- Mode consideration set
Discovery & Choice
- App awareness and recall
- Platform shortlist criteria
Booking & Fare
- Search and booking ease
- Fare clarity and acceptance
Pickup & Reliability
- Driver assignment stability
- Pickup time accuracy
Ride & Safety
- In-ride comfort standards
- Safety and conduct confidence
Payment & Support
- Payment completion confidence
- Issue resolution effectiveness
Value & Preference
- Perceived value for money
- Platform preference trade-offs
Loyalty & Advocacy
- Repeat booking intent
- Switching and referral drivers
SAMPLING STRATEGY
Tell us about your ideal sample
Help us understand your target respondent profile. Select what applies, we'll design the optimal sample plan based on your inputs.
METHODOLOGY
Survey approach
For Ride-Hailing Passenger Experience Survey, we recommend a mobile-first quantitative survey with selective qualitative depth and flexible data-collection modes to balance reach, depth, and verification.
EXECUTION PROCESS
How we execute
A proven 9-step process from scoping to delivery, designed to ensure quality, speed, and actionable insights.
Define the decision frame
Confirm objectives, target cohorts, geographies, and reporting cuts
Define the decision frame
Design the instrument
Build workstream modules mapped to outputs (drivers, friction, pricing, retention, trust)
Design the instrument
Lock the questionnaire
Review wording, sequencing, LOI, and competitive context; approve final version
Lock the questionnaire
Pilot and calibrate
Test comprehension and ease quality; refine quotas and remove friction where needed
Pilot and calibrate
Run fieldwork
Execute collection with active quota management and feasibility controls
Run fieldwork
Assure quality
Dedupe, attention checks, speed/consistency rules, removals with audit trail
Assure quality
Prepare the dataset
Clean data and deliver codebook/variable definitions
Prepare the dataset
Analyse and synthesise
Driver ranking, leakage diagnostics, pricing bands, segment insights
Analyse and synthesise
Deliver and align
Executive deck (optional dashboard) and leadership readout with recommendations
Deliver and align
COMMERCIAL TERMS
Request a Commercial Proposal
Pricing depends on cohort, geography, sample size, approach, LOI, and deliverables. Configure below for an indicative estimate.
Select Sample Size
Geography
Select Mode of Survey
Length of the Interview
$0.00
+ applicable taxes
Cost Breakdown
Note: Estimate is indicative only. Final pricing is subject to scope finalization after discovery call.
REFERENCE CASELETS
Reference
Real-world examples of survey work in the urban mobility space.
Ride Subscription Proposition Testing Across Commuter Segments (India)
OBJECTIVE
WHAT WE DID
DELIVERED
Ride Subscription Proposition Testing Across Commuter Segments (India)
Passenger Safety Feature Prioritisation for Night Travel (Southeast Asia)
Ride Subscription Proposition Testing Across Commuter Segments (India)
OBJECTIVE
A pan-India mobility platform needed to understand how daily commuters , hybrid workers , and frequent airport travellers evaluated subscription plans, monthly pass alternatives, and benefit bundles across price certainty , usage flexibility, and perceived savings.
WHAT WE DID
We ran a quant-led online survey with 900 active riders, stratified by city tier, trip frequency, and platform usage, capturing plan appeal , willingness to subscribe , benefit priorities, price ceilings, and switching consideration against pay-per-ride options.
DELIVERED
The work produced a subscription preference map , pricing corridor , commuter segment profiles, benefit bundle rankings, and message territories showing which propositions resonated with heavy users, occasional riders, and airport-focused customers across distinct trip patterns.
FREQUENTLY ASKED QUESTIONS
Common Questions
Answers to frequently asked questions about this survey mandate.
What decisions will this survey enable?
Who is the buyer vs who are the respondents?
Can we see differences between daily commuters, airport travellers and occasional users?
How will you measure platform preference beyond simple ratings?
Will the survey map the full ride-hailing journey and drop-offs?
Can this survey inform product and pricing strategy?
How will findings improve our passenger acquisition and retention strategy?
Still have questions?
Schedule a discovery call to discuss your specific needs and get a custom quote.