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Nonprofit & Civic

Urban IoT Sensor Privacy & Acceptance Study

Measures residents' awareness, acceptance, privacy concerns, and trust regarding urban IoT sensor deployments, providing civic planners with actionable segmentation and attitudinal insights.

Sample questions

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

22 questions · ~10 min
Q01
Message

Welcome to this research survey on smart city sensors in public spaces. We are interested in your honest experiences and opinions—there are no right or wrong answers. Your participation is entirely voluntary, and you may stop at any time. All responses are confidential, will be anonymized, and reported only in aggregate. Results will be used to inform civic planning and public policy. Estimated time: 8–10 minutes. By continuing, you indicate that you have read and understand the above information and agree to participate.

Q02
Multiple Choice

Do you currently live within the official city limits of your primary municipality?

  • Yes
  • No
  • Prefer not to say
Q03
Multiple Choice

In the past 12 months, which city-operated sensors have you personally noticed? (Select all that apply)

  • Traffic cameras
  • Smart streetlights
  • Air-quality monitors
  • Automated license plate readers
  • Gunshot detection sensors
  • On-street parking sensors
  • Public Wi‑Fi hotspots
  • Waste/bin fill sensors
  • Other (please specify)
  • None of the above
  • Not sure
Q04
Opinion Scale

Overall, how supportive or opposed are you to expanding the use of smart city sensors across your city?

Scale: 17
Min:Strongly opposeMax:Strongly support
Q05
Opinion Scale

How concerned are you about privacy risks from data collected by city sensors in public spaces?

Scale: 17
Min:Not at all concernedMax:Extremely concerned
Q06
Multiple Choice

Which safeguards would make you more comfortable with smart city sensor deployments? (Select all that apply)

  • Clear public signage at sensor locations
  • Short data retention limits
  • Independent oversight and audits
  • Aggregate/open data only (no raw personal data)
  • Data minimization (collect only what is needed)
  • Anonymization before storage
  • Public transparency reports
  • Community co-design and engagement
  • Ability to opt out for personal devices where feasible
  • Other (please specify)
  • None of these would make me comfortable
Q07
AI Interview

We'd like to understand your views more deeply. An AI moderator will ask you a few follow-up questions about your experiences and feelings regarding smart city sensors. Please respond as openly as you'd like.

Q08
Dropdown

What is your age?

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

Thank you for participating! Your responses have been recorded and will be used to help inform decisions about smart city sensor programs in your community. If you have questions about this study, please contact [research team email].

Q10
Dropdown

How long have you lived in your current city?

  • Less than 1 year
  • 1–2 years
  • 3–5 years
  • 6–10 years
  • 11–20 years
  • More than 20 years
  • Prefer not to say
Q11
Opinion Scale

How supportive or opposed are you to installing smart city sensors on your block or in your immediate neighborhood?

Scale: 17
Min:Strongly opposeMax:Strongly support
Q12
Long Text

What specific privacy risk, if any, worries you most about city sensor data? Please describe briefly.

Q13
Ranking

Please rank these potential uses of city sensor data from most acceptable to least acceptable.

  1. Traffic flow optimization
  2. Public safety and crime prevention
  3. Environmental monitoring (air and noise)
  4. Public transit reliability
  5. Emergency response
  6. Urban planning and maintenance
Drag to rank
Q14
Long Text

Based on your responses in this survey, please share any additional thoughts or feelings about smart city sensors in your community.

Q15
Multiple Choice

How do you describe your gender?

  • Woman
  • Man
  • Non-binary
  • Prefer to self-describe
  • Prefer not to say
Q16
Opinion Scale

How much do you trust your city government to manage sensor data responsibly?

Scale: 17
Min:Do not trust at allMax:Trust completely
Q17
Dropdown

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
  • Graduate or professional degree
  • Prefer not to say
Q18
Opinion Scale

How much do you trust private technology contractors to manage sensor data responsibly?

Scale: 17
Min:Do not trust at allMax:Trust completely
Q19
Dropdown

Which best describes your current employment status?

  • Working full-time
  • Working part-time
  • Self-employed
  • Unemployed and looking
  • Unemployed and not looking
  • Student
  • Retired
  • Homemaker / caregiver
  • Prefer not to say
Q20
Opinion Scale

How much do you trust law enforcement agencies to manage sensor data responsibly?

Scale: 17
Min:Do not trust at allMax:Trust completely
Q21
Dropdown

Which part of the city do you primarily live in?

  • Central / downtown
  • North
  • South
  • East
  • West
  • Outside the city
  • Prefer not to say
Q22
Opinion Scale

How much do you trust independent oversight bodies (e.g., privacy boards, auditors) to manage sensor data responsibly?

Scale: 17
Min:Do not trust at allMax:Trust completely

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

  • Includes an AI follow-up interview segment that adaptively probes residents' stated privacy concerns and trust levels, not just fixed-choice ratings
  • Uses multiple opinion-scale questions to separately measure trust in city government, private contractors, law enforcement, and independent oversight bodies
  • Includes a ranking exercise on acceptable vs unacceptable uses of sensor data plus an open-text question capturing specific privacy risks in respondents' own words
  • Produces an automated report with segmentation by demographics and neighborhood, useful for civic planners without manual coding of open-ends

Frequently asked questions

What questions are in the “Urban IoT Sensor Privacy & Acceptance Study” template?

The template includes 22 ready-to-use questions, starting with: “Welcome to this research survey on smart city sensors in public spaces. We are interested in your honest experiences an…” · “Do you currently live within the official city limits of your primary municipality?” · “In the past 12 months, which city-operated sensors have you personally noticed? (Select all that apply)”. The full set is previewed above, and every question is editable.

How long does this survey take to complete?

Respondents typically finish the 22 questions in about 10 minutes.

Can I customize this template?

Yes — every question, answer option, and the ordering is editable before you launch. You can add or remove questions, or ask the AI editor to rework the survey around your research goal.

Is this template free to use?

Yes. Open it in the editor and start customizing right away — no account required to try it, and the free plan covers launching your survey.

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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