All templates
Sustainability & Impact

Time-of-Use & Dynamic Electricity Pricing Acceptance Survey

Measures residential electricity customers' acceptance of time-of-use (TOU) and dynamic pricing plans, perceived fairness, enrollment intent, and preferred program features. Suitable for utilities and energy researchers designing or evaluating variable-rate programs.

Sample questions

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

29 questions · ~12 min
Q01
Message

Thank you for participating in this study about electricity pricing options. Your responses are completely confidential and will be analyzed only in aggregate to inform energy program design. There are no right or wrong answers—we are interested in your honest opinions. This survey takes approximately 8–10 minutes to complete. Your participation is entirely voluntary, and you may skip any question or stop at any time.

Q02
Multiple Choice

Do you pay or share responsibility for your household's electricity bill?

  • Yes, I pay it myself
  • Yes, I share responsibility
  • No, someone else pays
Q03
Opinion Scale

How familiar are you with time-of-use (TOU) or dynamic electricity rates?

Scale: 15
Min:Not at all familiarMax:Extremely familiar
Q04
Dropdown

How long have you been on your current TOU or dynamic pricing plan?

  • Less than 3 months
  • 3–6 months
  • 6–12 months
  • 1–2 years
  • More than 2 years
Q05
Opinion Scale

If a TOU or dynamic pricing plan were available to you, how likely would you be to enroll in the next 6 months?

Scale: 17
Min:Very unlikelyMax:Very likely
Q06
Opinion Scale

To what extent do you agree or disagree: TOU or dynamic pricing is a fair way to charge for electricity.

Scale: 17
Min:Strongly disagreeMax:Strongly agree
Q07
AI Interview

Based on your responses throughout this survey, please share any additional thoughts or feelings about electricity pricing, fairness, or what would make time-based pricing work better for you.

Q08
Dropdown

What is your age?

  • 18–24
  • 25–34
  • 35–44
  • 45–54
  • 55–64
  • 65 or older
  • Prefer not to say
Q09
Message

Thank you for your time—your feedback is very valuable and will help shape fairer electricity pricing options. You may now close this window.

Q10
Message

TOU rates charge different prices at different times of day (e.g., higher during peak hours, lower off-peak). Dynamic rates change more frequently (e.g., daily or hourly) based on electricity grid conditions. Both are designed to reward shifting usage to lower-cost, less congested times.

Q11
Opinion Scale

Overall, how satisfied are you with your TOU or dynamic pricing plan?

Scale: 17
Min:Not at all satisfiedMax:Extremely satisfied
Q12
Ranking

Please rank the following barriers to enrolling in a TOU or dynamic pricing plan from most important to least important.

  1. Unclear or uncertain cost savings
  2. Difficulty shifting usage due to work or family schedule
  3. Worry about bill spikes or financial risk
  4. Lack of smart home technology (e.g., smart thermostat, smart plugs)
  5. Distrust of utility, provider, or program
Drag to rank
Q13
Opinion Scale

To what extent do you agree or disagree: People who use electricity at off-peak times should pay less than those who use it at peak times.

Scale: 17
Min:Strongly disagreeMax:Strongly agree
Q14
Multiple Choice

How do you describe your gender?

  • Woman
  • Man
  • Non-binary
  • Prefer not to say
Q15
Multiple Choice

In the past 12 months, did your electricity bill increase noticeably in any month compared to what you expected?

  • Yes
  • No
  • Not sure
Q16
Opinion Scale

Since enrolling in your current plan, how has the predictability of your electricity bill changed?

Scale: 17
Min:Much less predictableMax:Much more predictable
Q17
Multiple Choice

Which of the following program features would make you more comfortable trying a TOU or dynamic pricing plan? Select all that apply.

  • Bill protection for the first 3 months
  • Personalized savings estimate before enrolling
  • Alerts before high-price hours
  • Rebates or discounts on smart devices
  • Easy opt-out at any time with no penalty
  • Live support to help plan usage
  • None of the above
  • Other (please specify)
Q18
Opinion Scale

To what extent do you agree or disagree: Variable electricity pricing could create hardship for people on fixed incomes or with inflexible schedules.

Scale: 17
Min:Strongly disagreeMax:Strongly agree
Q19
Dropdown

Which country do you currently live in?

  • United States
  • United Kingdom
  • Canada
  • Australia
  • Other
Q20
Multiple Choice

Which best describes your current electricity pricing plan?

  • Flat, fixed per-kWh rate
  • Time-of-use (TOU) pricing
  • Dynamic or real-time pricing
  • Prepay plan
  • Not sure
Q21
Opinion Scale

How likely are you to opt out of your current TOU or dynamic pricing plan in the next 12 months?

Scale: 17
Min:Very unlikelyMax:Very likely
Q22
Opinion Scale

To what extent do you agree or disagree: I trust my electricity provider to implement time-based pricing in a way that benefits customers.

Scale: 17
Min:Strongly disagreeMax:Strongly agree
Q23
Multiple Choice

What is your current housing situation?

  • Own
  • Rent
  • Live with parents or relatives
  • Other
Q24
Opinion Scale

How acceptable would it be to have up to 10 'critical peak' days per year when electricity prices are approximately double from 4–6 PM, with notice given one day ahead?

Scale: 17
Min:Completely unacceptableMax:Completely acceptable
Q25
Dropdown

Including yourself, how many people currently live in your household?

  • 1
  • 2
  • 3
  • 4
  • 5
  • 6 or more
Q26
Ranking

Please rank the following pricing design goals from most important to least important to you.

  1. Lower average electricity cost
  2. Predictable monthly bills
  3. Simple and transparent pricing structure
  4. Environmental benefits (e.g., less grid strain)
  5. Rewards for shifting usage to off-peak times
  6. Bill protections during extreme weather events
Drag to rank
Q27
Multiple Choice

What is the highest level of education you have completed?

  • Less than high school
  • High school or equivalent
  • Some college / Associate degree
  • Bachelor's degree
  • Postgraduate degree
  • Prefer not to say
Q28
Multiple Choice

What is your current employment status?

  • Full-time
  • Part-time
  • Self-employed
  • Student
  • Not employed
  • Retired
  • Prefer not to say
Q29
Multiple Choice

Which best describes the area where you live?

  • Urban
  • Suburban
  • Rural

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.

How it compares

We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.

Why this template

  • Includes a dedicated AI follow-up interview question that probes each respondent's own answers for open-ended context on their pricing attitudes, not just a generic open-text box
  • Combines attitudinal opinion-scale items (fairness, trust, predictability, acceptability of critical peak days) with ranking exercises on barriers and pricing-design priorities, giving both quantitative and preference-ranked data
  • Segments respondents by current plan status and tenure (dropdown on how long they've been enrolled) so utilities can compare enrolled vs. not-yet-enrolled customers within one instrument
  • Captures full demographic and housing context (household size, housing situation, area type) needed to model enrollment intent and fairness perceptions across customer segments

QuestionPro

Concept Evaluation and Pricing Study Survey Templates

This is a generic concept/pricing evaluation template rather than one built for electricity rate structures, TOU billing, or utility program design specifically. It's useful as a general pricing-acceptance framework but would need heavy customization to cover critical peak pricing, enrollment barriers, or utility trust dimensions. Best viewed as a category-level pricing template, not a fielding-ready energy survey.

What it does well

  • Established survey platform with broad question-library support for pricing research
  • Template is framed around general concept and price-sensitivity testing, which is a reasonable starting structure for willingness-to-pay questions

Where it falls short

  • No utility- or energy-specific content (no TOU mechanics, critical peak days, or plan-tenure segmentation)
  • Static question-and-answer format with no adaptive AI follow-up to probe why a respondent finds a rate fair or unfair
  • No published methodology showing how quality scoring or response validation is handled

Ready to launch?

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

Related templates

More studies from the same category.

See all
Sustainability & Impact

Residential Demand Response Enrollment & Trade-Off Assessment

Measures utility customers' awareness, enrollment likelihood, incentive preferences, and acceptable trade-offs for demand response programs to inform program design and marketing strategy.

View template
Sustainability & Impact

Corporate Social & Environmental Responsibility Perception Survey

Measures consumer awareness, credibility perceptions, and purchase influence of corporate CSR and ESG initiatives, including brand trust, willingness to pay, and expectations for responsible business practices.

View template
Sustainability & Impact

Consumer Trust in Carbon Offset Claims Survey

Measures consumer trust in corporate carbon-offset claims, preferences for emissions reductions vs. offsets, and willingness to pay a premium. Designed to inform ESG strategy, sustainability communications, and brand positioning.

View template
Sustainability & Impact

Biodiversity KPI Maturity & Readiness Assessment

Benchmarks employee awareness, tracking practices, data quality confidence, barriers, and priorities for biodiversity impact KPIs. Designed for sustainability, operations, and ESG teams to inform reporting strategy and capability investment.

View template
Sustainability & Impact

Manufacturing Supplier ESG Performance Audit

A structured audit instrument for assessing manufacturing suppliers across environmental, social, and governance pillars. Designed for procurement and sustainability teams to identify ESG risks, benchmark supplier maturity, and prioritize collaborative improvement initiatives.

View template
Sustainability & Impact

Outage Notification & ETA Accuracy Satisfaction Survey

Measures residential utility customer satisfaction with outage notifications, estimated restoration time accuracy, and communication channel preferences. Designed for utility providers seeking to identify communication gaps and prioritize improvements.

View template