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.
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
How familiar are you with time-of-use (TOU) or dynamic electricity rates?
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
If a TOU or dynamic pricing plan were available to you, how likely would you be to enroll in the next 6 months?
To what extent do you agree or disagree: TOU or dynamic pricing is a fair way to charge for electricity.
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.
What is your age?
- 18–24
- 25–34
- 35–44
- 45–54
- 55–64
- 65 or older
- Prefer not to say
Thank you for your time—your feedback is very valuable and will help shape fairer electricity pricing options. You may now close this window.
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.
Overall, how satisfied are you with your TOU or dynamic pricing plan?
Please rank the following barriers to enrolling in a TOU or dynamic pricing plan from most important to least important.
- Unclear or uncertain cost savings
- Difficulty shifting usage due to work or family schedule
- Worry about bill spikes or financial risk
- Lack of smart home technology (e.g., smart thermostat, smart plugs)
- Distrust of utility, provider, or program
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.
How do you describe your gender?
- Woman
- Man
- Non-binary
- Prefer not to say
In the past 12 months, did your electricity bill increase noticeably in any month compared to what you expected?
- Yes
- No
- Not sure
Since enrolling in your current plan, how has the predictability of your electricity bill changed?
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)
To what extent do you agree or disagree: Variable electricity pricing could create hardship for people on fixed incomes or with inflexible schedules.
Which country do you currently live in?
- United States
- United Kingdom
- Canada
- Australia
- Other
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
How likely are you to opt out of your current TOU or dynamic pricing plan in the next 12 months?
To what extent do you agree or disagree: I trust my electricity provider to implement time-based pricing in a way that benefits customers.
What is your current housing situation?
- Own
- Rent
- Live with parents or relatives
- Other
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?
Including yourself, how many people currently live in your household?
- 1
- 2
- 3
- 4
- 5
- 6 or more
Please rank the following pricing design goals from most important to least important to you.
- Lower average electricity cost
- Predictable monthly bills
- Simple and transparent pricing structure
- Environmental benefits (e.g., less grid strain)
- Rewards for shifting usage to off-peak times
- Bill protections during extreme weather events
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
What is your current employment status?
- Full-time
- Part-time
- Self-employed
- Student
- Not employed
- Retired
- Prefer not to say
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 TemplatesThis 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.
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