Charging Infrastructure Accessibility & Reliability Survey
EV fleet operators, network development heads, and charging site planners evaluate uptime consistency, location coverage, and connector compatibility, so you can sharpen network expansion decisions, fix acquisition conversion gaps, and benchmark reliability positioning against competing operators.
CONTEXT & RELEVANCE
Why run this survey now
Most EV fleet operators and charging network developers don't lose drivers purely on hardware availability. They lose them due to unreliable uptime, inconsistent connector compatibility, opaque pricing structures, poor site-level service recovery, and uneven grid access, none of which fully show up in network utilization reports or OEM telematics dashboards.
If you are...
- Charging network operator or CPO
- EV fleet deployment or range planning lead
- Utility or grid integration strategist
- OEM aftersales and charging experience head
- Mobility infrastructure investment team
You're likely facing...
- Uptime gaps: urban vs highway corridors
- Connector standard fragmentation by segment
- CPO pricing opacity vs driver expectations
- Fleet range anxiety: depot vs public mix
- Grid capacity constraints at high-demand sites
This will help answer...
- Reliability drivers by corridor type
- Drop-off stage in charging session
- Fleet vs private user segment needs
- Pricing tolerance and fee structure fit
- Site switching and loyalty triggers
RESEARCH THEMES
What This Survey Investigates
Eight interconnected research themes that map the complete EV driver journey from first charge attempt to long-term network loyalty.
Network Discovery
- Charger location awareness channels
- First charging session triggers
Accessibility Gaps
- Coverage deserts by geography type
- Connector standard mismatches
Reliability & Uptime
- Out-of-service frequency by network
- Failed session recovery experience
Session Experience
- Charge speed vs. stated output
- Wait time and queue friction
Pricing & Billing
- Per-kWh vs. per-minute billing preference
- Subscription plan adoption rates
Home vs. Public
- Home EVSE installation barriers
- Public network dependency by segment
CPO Trust & Support
- Customer support responsiveness ratings
- Network brand credibility signals
Network Switching
- Cross-network roaming friction
- Primary network lock-in 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 the Charging Infrastructure Accessibility and Reliability Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification across EV driver and fleet operator segments.
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 EV charging infrastructure space.
EV driver charging behaviour & session friction (India)
OBJECTIVE
WHAT WE DID
DELIVERED
EV driver charging behaviour & session friction (India)
Public charging accessibility gaps & site selection signals (West India)
EV driver charging behaviour & session friction (India)
OBJECTIVE
A pan-India EV charging network operator needed to isolate why personal EV owners and fleet operators abandoned mid-session charges, and how charger downtime perception shaped their station loyalty and repeat visit decisions.
WHAT WE DID
Ran a structured quant survey across 600 respondents in 8 cities, capturing session abandonment triggers, wait-time tolerance thresholds, fault frequency recall, and station-switching behaviour segmented by vehicle type and daily range dependency.
DELIVERED
A friction severity map ranked by driver segment, a station loyalty corridor showing the reliability threshold at which repeat visits stabilise, and a segment framework separating range-anxious daily commuters from occasional long-distance users.
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 urban hub users, highway corridor users and depot-based fleet operators?
How will you measure charging network preference beyond simple ratings?
Will the survey map the full charging session journey and drop-offs?
Can this survey inform product and pricing strategy?
How will findings improve our network expansion and partnership decisions?
Still have questions?
Schedule a discovery call to discuss your specific needs and get a custom quote.