Resident Trust & Accountability in Local Government
Measures resident perceptions of trust, fairness, transparency, and accountability in local public services. Designed for municipal governments and civic organizations seeking actionable feedback to improve governance and resident relations.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
Do you currently live in the city, town, or county this survey is about?
- Yes
- No
In the past 12 months, have you interacted with any local public service (for example, permits, sanitation, schools, health clinics, public safety, or housing)?
- Yes
- No
Overall, how much do you trust your local government to do what is right for residents?
Please indicate how much you agree or disagree with each statement about your local government. "My local government treats all residents fairly, regardless of their background."
How transparent is your local government about how decisions are made and how public funds are spent?
Based on your responses in this survey, if you could change one thing to make local government fairer, more transparent, or more accountable, what would it be?
What is your age?
- 18–24
- 25–34
- 35–44
- 45–54
- 55–64
- 65 or older
- Prefer not to say
Thank you for completing this survey. Your responses are confidential and will be used in aggregate to help improve local public services. If you have questions about this study, please contact [research team email].
Thinking about your most recent interaction with a local public service, please indicate how much you agree or disagree: "I was treated with courtesy and respect."
How satisfied are you with the overall quality of services provided by your local government?
"Residents have a meaningful say in local government decisions."
In the past 6 months, which sources have you used to get information from your local government? Select all that apply.
- City/municipal website
- Social media (official government accounts)
- Local news outlets (TV, radio, newspaper)
- Community meetings or town halls
- 311/helpline or service app
- Email or text alerts/newsletters
- Friends, family, or neighbors
- Other (please specify)
- None — I have not sought information
Thank you for your responses so far. We'd like to explore a few of your thoughts in more depth. An AI moderator will ask you up to 2 short follow-up questions — please respond as openly as you like.
What is your gender?
- Woman
- Man
- Non-binary
- Prefer to self-describe
- Prefer not to say
"The process was straightforward and easy to follow."
What, if anything, most influences your level of trust in local government — whether positively or negatively? Please share any specific examples.
"Local officials listen to and care about residents' concerns."
From the list below, rank the three actions that would do the most to improve local government accountability (drag to reorder; 1 = most helpful).
- Publish clear performance dashboards
- Stronger independent audits and oversight
- Simpler, faster complaint and appeals process
- Publish detailed spending and contracts
- More participatory budgeting and resident input
- Open data on services and outcomes
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
"I received a response within a reasonable time."
"Decision-making processes give all neighborhoods and communities equal attention."
How confident are you that local officials are held accountable when mistakes or misconduct occur?
Which best describes the area where you live?
- Urban center
- Suburban area
- Small town
- Rural area
- Prefer not to say
"I was treated fairly regardless of my background."
"The outcome or next steps were clearly explained to me."
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 series of opinion-scale statements specifically isolating fairness, responsiveness, transparency, and accountability rather than a single blended satisfaction score
- Features an AI follow-up interview segment that can probe deeper into residents' stated reasons for trust or distrust, going beyond fixed-choice responses
- Includes a ranking question asking residents to prioritize the top actions that would improve trust, giving municipalities directly actionable priorities
- Closes with open-text questions on what most influences trust and what one change residents would make, paired with demographic breakdowns (age, gender, education, area type) for segmented analysis
Jotform
Resident Feedback Form TemplateThis is a static, customizable form template built on Jotform's general form-builder platform, aimed at collecting general resident feedback. It's easy to embed and edit but is not structured as a research instrument with validated trust/accountability constructs. No adaptive interviewing or automated analysis is described.
What it does well
- Highly customizable drag-and-drop form fields
- Easy embedding and integration with Jotform's broader form ecosystem
- Simple setup for basic feedback collection
Where it falls short
- Static question set with no adaptive AI follow-up probing based on individual answers
- No automated per-response quality scoring or AI-generated analysis reports
- No published methodology or prompt transparency, since it's a form builder, not an interview platform
SurveyMonkey
Resident Satisfaction Survey TemplateA standard fielding-ready survey template focused on resident satisfaction with local services. It benefits from SurveyMonkey's established survey logic and distribution tools but relies on fixed question paths rather than dynamic follow-up. Useful for broad satisfaction tracking rather than deep qualitative exploration of trust drivers.
What it does well
- Established survey platform with reliable distribution and reporting tools
- Pre-built satisfaction-focused question set ready to field quickly
- Familiar interface for municipal staff already using SurveyMonkey
Where it falls short
- No adaptive AI-driven follow-up questions tailored to individual responses
- No voice AI interview option or guided screen-share tasks
- No automated response-quality scoring or transparent AI prompt documentation
SurveySparrow
Resident Satisfaction Survey TemplateSurveySparrow offers a conversational, chat-style survey format for resident satisfaction, which can feel more engaging than a traditional form. However, the conversational flow is scripted rather than AI-adaptive, meaning follow-up questions don't dynamically change based on open-text answer content. It's a ready-to-field template but not an interview-based research tool.
What it does well
- Conversational, chat-like survey experience that may improve completion rates
- Ready-to-use template tailored to resident satisfaction topics
- Mobile-friendly presentation format
Where it falls short
- Conversational UI is scripted, not adaptive AI probing based on respondent answers
- No voice AI interview capability or guided task/screen-share functionality
- No automated quality scoring or transparent prompt-level methodology disclosed
Typeform
Resident Satisfaction Survey TemplateTypeform provides a polished, one-question-at-a-time survey template well-suited for resident satisfaction tracking, with conditional logic for branching. It is a static, pre-scripted questionnaire rather than an AI-driven interview, so it cannot probe unexpected answers in real time. Good for aesthetics and basic logic branching, less suited for deep qualitative trust analysis.
What it does well
- Clean, engaging one-question-at-a-time interface
- Conditional logic branching based on prior answers
- Strong template design and ease of distribution
Where it falls short
- Logic branching is pre-scripted, not adaptive AI follow-up generated in real time
- No voice AI interview option or automated per-response quality scoring
- No transparent AI prompt methodology, since it's a form-logic tool rather than an AI interviewer
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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