Gauge utility customer interest in demand response, incentives, and trade-offs to shift peak-hour electricity use, optimize design, and boost enrollment.
What's Included
AI-Powered Questions
Intelligent follow-up questions based on responses
Automated Analysis
Real-time sentiment and insight detection
Smart Distribution
Target the right audience automatically
Detailed Reports
Comprehensive insights and recommendations
Sample Survey Items
Q1
Multiple Choice
Which of the following best describes your household’s electricity service?
I pay the electric bill for my household
Someone else pays the electric bill for my household
This is a business/commercial account
I currently do not have electricity service
Q2
Dropdown
Which best describes your home?
Single-family detached house
Apartment or condominium
Townhome/row house
Mobile/manufactured home
Other
Q3
Multiple Choice
Which of these devices or systems does your household currently have? Select all that apply.
Central air conditioner
Window/room air conditioner
Electric heat pump (heating/cooling)
Smart thermostat
Electric water heater
Electric vehicle or home EV charger
Electric clothes dryer
None of the above
Q4
Multiple Choice
Before today, were you aware that electricity has peak hours when demand and costs are higher?
Yes
No
Not sure
Q5
Multiple Choice
Which statement best describes your familiarity with demand response (programs that shift or reduce use during peak times)?
I currently participate in a demand response program
I know what demand response is but I’m not enrolled
I’ve heard of it but don’t know the details
This is new to me
Q6
Multiple Choice
Which demand response option(s) are you currently enrolled in? Select all that apply.
Utility direct load control (e.g., AC cycling)
Time-of-Use (TOU) rate
Critical Peak Pricing (CPP)
Peak Time Rebate (PTR)
EV managed charging program
Other
Not currently enrolled
Q7
Rating
If you are enrolled in any demand response program, how satisfied are you overall? (If not enrolled, please skip.)
Scale: 10 (star)
Min: Very dissatisfiedMax: Very satisfied
Q8
Long Text
What works well, and what could be improved about any program you’re enrolled in? (Optional)
Max 600 chars
Q9
Opinion Scale
How likely are you to enroll in a program that shifts your electricity use during peak hours in the next 12 months?
Range: 1 – 10
Min: Very unlikelyMid: NeutralMax: Very likely
Q10
Multiple Choice
Which incentives would most motivate you to join? Select up to two.
Monthly bill credit
One-time sign-up bonus
Higher rewards during extreme peaks
Smart device discount/rebate
Points or gift cards
No incentive would motivate me
Q11
Multiple Choice
What, if anything, would hold you back from participating? Select all that apply.
I don’t want the utility to control my devices
The incentives aren’t worth it
Comfort concerns (too warm/cold)
Privacy or data-sharing concerns
Not enough information or unclear rules
Events happen at inconvenient times
I rent and cannot make changes to equipment
None of these would hold me back
Q12
Ranking
Rank the benefits from most to least motivating to you.
Drag to order (top = most important)
Monthly bill savings/credits
Helping grid reliability in my community
Environmental impact (lower emissions)
Smart home convenience/automation
Personalized insights/notifications
Q13
Multiple Choice
Attention check: To confirm you’re paying attention, please select “I am paying attention.”
I am paying attention
I am not paying attention
Prefer not to answer
None of the above
Q14
Matrix
How acceptable are the following ways a program could reduce peak use?
Rows
Not acceptable
Slightly acceptable
Neutral
Acceptable
Highly acceptable
Utility temporarily adjusts a device with the option to opt out each event
•
•
•
•
•
Automatic device optimization (via smart thermostat/app) with ability to override
•
•
•
•
•
Price-based signals (e.g., TOU/CPP) that encourage shifting
•
•
•
•
•
Peak-time rebates for reducing use during events
•
•
•
•
•
A third-party provider coordinates reductions on your behalf (with your consent)
•
•
•
•
•
Q15
Multiple Choice
If events occur on weekdays, which time window would be least disruptive for you?
7-9 AM
2-5 PM
5-9 PM
Overnight (10 PM-6 AM)
No strong preference
Q16
Dropdown
How much advance notice do you prefer before an event?
No advance notice (real-time)
15 minutes
30 minutes
1 hour
2 hours
24 hours
Q17
Multiple Choice
What is the longest event duration you would find acceptable?
30 minutes
1 hour
2 hours
3 hours
More than 3 hours is not acceptable
Not sure
Q18
Constant Sum
Allocate 100 points across the features you value most. (Total must add to 100.)
Total must equal 100
Guaranteed ability to override/opt out
Advance notice of events
Fewer or shorter events
Higher rewards/credits
Comfort protection (temperature limits)
Environmental impact/community reliability
Smart device discounts/automation
Min per option: 0Whole numbers only
Q19
Numeric
How many events per month would you want the option to skip without penalty?
Accepts a numeric value
Whole numbers only
Q20
Dropdown
What is your age group?
18-24
25-34
35-44
45-54
55-64
65+
Prefer not to say
Q21
Multiple Choice
Which gender do you identify with? Select all that apply.
Woman
Man
Non-binary
Another gender
Prefer not to say
Q22
Dropdown
What is the highest level of education you have completed?
Less than high school
High school or equivalent
Some college, no degree
Associate degree
Bachelor’s degree
Graduate or professional degree
Prefer not to say
Q23
Multiple Choice
What is your current employment status?
Employed full-time
Employed part-time
Self-employed
Unemployed, looking for work
Unemployed, not looking for work
Student
Retired
Homemaker/caregiver
Prefer not to say
Q24
Dropdown
Where do you live?
United States
Canada
United Kingdom
Australia
European Union
Another country/region
Q25
Chat Message
Welcome! This brief survey asks about your household, your experience with demand response, and your preferences. Your responses are confidential, and you may skip any question.
Q26
Long Text
Any final comments or suggestions to help make these programs work better for you?
Max 600 chars
Q27
AI Interview
AI Interview: 2 Follow-up Questions on Electricity Demand Response
AI InterviewLength: 2Personality: Expert InterviewerMode: Fast
Q28
Chat Message
Thank you for your time—your feedback will help improve future programs.
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