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Sustainability & Impact

EV Public Charging Payment Clarity & Reliability Survey

A diagnostic survey for EV drivers who have used public charging in the last 30 days, measuring payment transparency, first-attempt success rates, failure patterns, and perceived price fairness to identify priority improvement areas for charging operators.

Sample questions

A preview of what’s in the template. Every question is editable before you launch.

21 questions · ~10 min
Q01
Message

Welcome! This short survey (approximately 10 minutes) asks about your experiences with pricing clarity and payment reliability at public EV charging stations over the last 30 days. Your participation is entirely voluntary and you may stop at any time. There are no right or wrong answers—we are interested in your honest opinions. All responses are confidential, anonymized, and reported only in aggregate to help improve the public charging experience.

Q02
Multiple Choice

Have you used a public EV charger in the last 30 days?

  • Yes
  • No
Q03
Multiple Choice

Approximately how many public charging sessions did you complete in the last 30 days?

  • 1–2 sessions
  • 3–5 sessions
  • 6–10 sessions
  • 11–20 sessions
  • More than 20 sessions
Q04
Dropdown

Before you start a charging session, how is pricing typically displayed? Select the option that best matches your most common experience.

  • Price per kWh only
  • Price per minute only
  • Per kWh + session fee
  • Per minute + session fee
  • Tiered by charger power level
  • Dynamic pricing (varies by demand or time of day)
  • Price not shown before starting
  • It varies too much by location/operator to say
  • Other (please specify)
Q05
Opinion Scale

In the last 30 days, how often did your first payment attempt succeed without any issues?

Scale: 17
Min:NeverMax:Every time
Q06
Opinion Scale

Overall, how fair do you feel the prices were that you paid at public chargers in the last 30 days?

Scale: 17
Min:Very unfairMax:Very fair
Q07
Long Text

Based on your experiences, what one thing would most improve payment clarity or reliability at public EV chargers?

Q08
Multiple Choice

What type of electric vehicle do you primarily drive?

  • Battery electric vehicle (BEV)
  • Plug-in hybrid (PHEV)
  • Other
Q09
Message

Thank you for completing this survey. Your feedback will help improve the public EV charging experience. If you have any questions about this research, please contact the study team.

Q10
Multiple Choice

In the last 30 days, which payment methods did you use at public EV chargers? Select all that apply.

  • Contactless card (tap)
  • Chip-and-PIN card
  • Mobile wallet (Apple Pay / Google Pay)
  • Network mobile app
  • RFID card or fob
  • QR code to web checkout
  • Plug & Charge (ISO 15118)
  • Other (please specify)
Q11
Opinion Scale

Overall, how clear was the pricing information displayed at public chargers you used in the last 30 days?

Scale: 17
Min:Not at all clearMax:Extremely clear
Q12
Multiple Choice

Approximately how many times did a payment attempt fail at a public charger in the last 30 days?

  • 0 — no failures
  • 1–2 times
  • 3–5 times
  • 6 or more times
Q13
Opinion Scale

How likely are you to recommend the public charging network you use most often to another EV driver?

Scale: 17
Min:Not at all likelyMax:Extremely likely
Q14
AI Interview

Thank you for your written response. I'd like to explore your thoughts a bit further. Could you tell me more about a specific experience where payment clarity or reliability affected your charging session?

Q15
Dropdown

In which region do you primarily use public chargers?

  • North America
  • UK & Ireland
  • Europe (excluding UK & Ireland)
  • Australia & New Zealand
  • Asia (excluding Middle East)
  • Middle East
  • Africa
  • Latin America & Caribbean
Q16
Multiple Choice

Which charger types do you use most often? Select all that apply.

  • On-street slow AC (≤7 kW)
  • Level 2 AC (up to ~22 kW)
  • DC fast (50–149 kW)
  • High-power DC (150 kW+)
Q17
Multiple Choice

Which of the following payment issues, if any, did you experience at a public charger in the last 30 days? Select all that apply.

  • Card reader malfunction
  • App or network error
  • Poor mobile signal or connectivity
  • Card unexpectedly declined
  • Price mismatch or pricing confusion
  • QR code or URL not working
  • Account authentication timeout
  • Other (please specify)
  • I did not experience any payment issues
Q18
Multiple Choice

What is your age?

  • 18–24
  • 25–34
  • 35–44
  • 45–54
  • 55–64
  • 65+
  • Prefer not to say
Q19
Multiple Choice

Thinking of your most recent payment failure, how did you resolve it?

  • Retried the same method at the same charger
  • Switched to a different payment method at the same charger
  • Moved to another charger at the same site
  • Drove to a different site or operator
  • Called support and it was resolved
  • Abandoned the session entirely
Q20
Multiple Choice

What is your gender?

  • Man
  • Woman
  • Non-binary
  • Prefer not to say
Q21
Opinion Scale

How helpful was the charging support you contacted?

Scale: 17
Min:Not at all helpfulMax:Extremely helpful

What’s included

  • AI follow-ups

    Adaptive probes on open-ended answers that pull out detail a static form would miss.

  • Attention checks

    Built-in safeguards against rushed answers and low-quality respondents.

  • AI-drafted copy

    Wording, ordering, and branching written by the AI — tuned to your research goal.

  • Auto report

    Themes, quotes, and a plain-English summary write themselves once responses come in.

Why this template

What this template is built to do — we found no directly comparable template from other survey tools to review.

What sets it apart

  • Combines closed-ended metrics (pricing display clarity, first-attempt payment success, failure frequency) with an AI follow-up interview that probes the open-text response about what would most improve payment clarity
  • Captures failure-pattern detail (payment issues experienced, resolution method, support helpfulness) that goes beyond a single satisfaction score
  • Includes demographic and usage-context questions (EV type, region, session frequency, charger type) so operators can segment reliability and fairness findings
  • Produces an auto-generated report with transparent prompts, so operators can see exactly what the AI asked and why during the follow-up interview

Ready to launch?

Open this template in the editor. Every part is yours to change before the first respondent sees it.

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