AUTO & EV

EV Consumer Unmet Charging Experience & Range Anxiety Survey

Map how EV owners and intenders evaluate charging availability, weigh range limitations, and choose between vehicle options, so you can sharpen acquisition messaging, fix retention gaps, and benchmark pricing against real willingness to pay.

Pan-India sample
EV owners and intenders (Active EV Decision-Makers)
15-20 min
Talk to a Survey Consultant
Charging friction & drop-offsIdentify where range anxiety and charging gaps stall purchase conversion.
Range trade-offs & segmentationIsolate unmet range thresholds by usage profile, geography, and vehicle segment.
TRUSTED BY LEADING BRANDS
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CONTEXT & RELEVANCE

Why run this survey now

Most EV product planners don't lose buyers purely on sticker price. They lose them due to charge point scarcity, unpredictable session reliability, real-world range shortfall, unfamiliar charging protocols, and post-purchase anxiety spikes, none of which fully show up in telematics logs or dealership CRM data.

If you are...

  • OEM EV product planning team
  • Charging network development head
  • Fleet electrification strategy lead
  • EV aftersales and retention head
  • Corporate EV GTM pricing lead

You're likely facing...

  • Range anxiety vs. actual usage gap
  • Charge session drop-off: en-route vs. home
  • Public network = unreliable/sparse perception
  • OEM range claims vs. real-world shortfall
  • Renewal hesitation: charging friction trigger

This will help answer...

  • Primary charging friction by segment
  • Journey stage drop-off points
  • Fleet vs. private owner split
  • Willingness to pay: charging upgrades
  • Repurchase risk from range anxiety

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete EV owner journey from first charge to long-term retention.

TENETS 01

Range Perception

  • Stated vs. actual range gap
  • Trip-planning anxiety triggers
TENETS 02

Charging Discovery

  • Station discovery tools used
  • Real-time availability gaps
TENETS 03

Home Charging

  • Home charger installation barriers
  • Overnight charging behaviour patterns
TENETS 04

Public Network Friction

  • Session failure and fault rates
  • Payment and authentication friction
TENETS 05

Charging Speed & WTP

  • DC fast charge vs. AC preference
  • Price sensitivity by session type
TENETS 06

OEM & CPO Trust

  • OEM vs. third-party network preference
  • Brand trust after service failures
TENETS 07

Unmet Feature Gaps

  • Missing in-vehicle charging features
  • Software update impact on range
TENETS 08

Advocacy & Retention

  • Repurchase intent by charging satisfaction
  • Word-of-mouth triggers and blockers

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.

Sample size
How many respondents do you need?
Not Selected
Target audience
Who should we survey?
Not Selected
Region
Which regions should we cover?
Not Selected
Segments
How should we slice the data?
Not Selected
Discuss sample plan

METHODOLOGY

Survey approach

For the EV Consumer Unmet Charging Experience & Range Anxiety Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification across EV owner segments.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Ranking charging gap severity by vehicle segment
2
Quantifying range anxiety triggers by daily commute distance
3
Benchmarking satisfaction across public, home, and workplace charging
Deliverables
Anxiety trigger ranking
Charging gap matrix
Segment satisfaction scores
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
EV owners in Tier 2 and Tier 3 cities
2
Fleet operators with low panel representation
Deliverables
Regional coverage data
Fleet owner diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
Early adopters in high-density urban charging corridors
2
Long-range EV drivers with complex multi-stop charging needs
Deliverables
Corridor usage maps
Rich charging journey profiles
OPTIONAL
FGDs
Deliverables
Anxiety themes and quotes
Messaging concept feedback
OPTIONAL
Mixed surveysAny 4-mode combo Online + CATI + F2F + FGDs to maximise reach and representation. Mode-specific quotas and weighting for clean comparisons.
Deliverables
Unified dataset
Mode-adjusted analytics
Our Recommendation
Start with: Online web survey as the core quant layer, targeting EV owners across vehicle categories and charging contexts, supported by CATI for Tier 2 and Tier 3 city coverage where panel reach is limited.
Consider adding: F2F intercepts at high-traffic public charging stations for journey-level depth, and a focused FGD layer to pressure-test messaging around charging reliability and range confidence.

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

Step 01

Define the decision frame

Design the instrument

Build workstream modules mapped to outputs (drivers, friction, pricing, retention, trust)

Step 02

Design the instrument

Lock the questionnaire

Review wording, sequencing, LOI, and competitive context; approve final version

Step 03

Lock the questionnaire

Pilot and calibrate

Test comprehension and ease quality; refine quotas and remove friction where needed

Step 04

Pilot and calibrate

Run fieldwork

Execute collection with active quota management and feasibility controls

Step 05

Run fieldwork

Assure quality

Dedupe, attention checks, speed/consistency rules, removals with audit trail

Step 06

Assure quality

Prepare the dataset

Clean data and deliver codebook/variable definitions

Step 07

Prepare the dataset

Analyse and synthesise

Driver ranking, leakage diagnostics, pricing bands, segment insights

Step 08

Analyse and synthesise

Deliver and align

Executive deck (optional dashboard) and leadership readout with recommendations

Step 09

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

100

Geography

  • India
  • APAC (Singapore, Vietnam, Philippines, Indonesia, Australia, NZ, Japan, Thailand)
  • Middle East (UAE, KSA, Qatar, Bahrain, Oman, Kuwait)
  • North America (US, Canada)
  • Europe
  • Africa (South Africa, Kenya, Nigeria, Egypt, Algeria)
  • LATAM (Brazil, Mexico)

Select Mode of Survey

  • Online
  • CATI
  • Online FGD (5 people per FGD)
  • F2F

Length of the Interview

  • Select
  • 0-15
  • 16-20
  • 21-30
  • 31-45
  • 46-60
  • Custom
Indicative Estimate
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$0.00

+ applicable taxes

Proposal turnaround typically 24–48 hours

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 electric vehicle charging and ownership experience space.

CASELET 1

Public charging station preference & friction mapping (India)

CASELET 2

Range anxiety triggers & messaging territories for fleet EV adoption (India)

Public charging station preference & friction mapping (India)

OBJECTIVE

A pan-India EV charging network operator needed to identify why urban private EV owners and intercity EV drivers abandoned specific charging station types, and which station attributes drove repeat visits versus permanent avoidance.

WHAT WE DID

Ran a structured quant survey across 8 cities with 420 respondents, capturing station selection triggers, dwell time tolerance, connector compatibility issues, payment failure rates, and real-time availability perception for each charging network type used.

DELIVERED

A station attribute preference map by driver segment, a ranked friction list across 6 charging network types, and a set of experience levers tied to repeat usage intent for urban versus highway corridors.
CASELET 1

Public charging station preference & friction mapping (India)

CASELET 2

Range anxiety triggers & messaging territories for fleet EV adoption (India)

Public charging station preference & friction mapping (India)

OBJECTIVE

A pan-India EV charging network operator needed to identify why urban private EV owners and intercity EV drivers abandoned specific charging station types, and which station attributes drove repeat visits versus permanent avoidance.

WHAT WE DID

Ran a structured quant survey across 8 cities with 420 respondents, capturing station selection triggers, dwell time tolerance, connector compatibility issues, payment failure rates, and real-time availability perception for each charging network type used.

DELIVERED

A station attribute preference map by driver segment, a ranked friction list across 6 charging network types, and a set of experience levers tied to repeat usage intent for urban versus highway corridors.

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 BEV owners, PHEV owners and EV intenders?

How will you measure charging experience preference beyond simple ratings?

Will the survey map the full charging journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our EV adoption and retention rate?

Still have questions?

Schedule a discovery call to discuss your specific needs and get a custom quote.

Book a Discovery Call