Nonprofit & civic survey templates

Measures how members perceive the value of their association benefits, how likely they are to renew and recommend membership, and which offerings deserve more investment — with an AI follow-up that digs into the real reasons behind a member's renewal score instead of a generic satisfaction rating. Built for membership and engagement teams running annual or renewal-cycle check-ins.

Measures how satisfied volunteers are with their role, training, recognition, and coordination — and what would keep them coming back. Includes a best-worst trade-off to prioritize fixes and an AI follow-up interview that digs into the real reason behind a volunteer's satisfaction or hesitation to continue. Built for volunteer coordinators and nonprofit program managers.

Captures new volunteer applicants' availability, skills, and cause interests so nonprofits can match them to the right role fast — with an AI follow-up that surfaces the personal motivation behind their sign-up instead of a generic checkbox reason.

Measures how connected residents feel to their local community, how often they engage with neighbors and local institutions, and what barriers keep people from participating more, with an AI follow-up that digs into a specific recent moment of connection or isolation.

Assesses how volunteers experience training, communication, recognition, and support, and how likely they are to keep volunteering or recommend the program. An AI follow-up interview digs into the specific experience behind their satisfaction score so program staff know exactly what to fix or protect.

Measures how new members experience joining, orientation, and early engagement with your organization, and what predicts whether they'll renew or get more involved. An AI follow-up interview digs into the real reasons behind each member's renewal likelihood, surfacing friction points closed questions miss. Built for nonprofits, associations, and civic groups.

Measures how volunteers experience onboarding, coordinator support, and the meaningfulness of their assignments at a community service agency, plus what would make them volunteer more often. An AI follow-up interview digs into the specific moment that shaped their satisfaction or hesitation, surfacing concrete fixes a generic rating scale would miss.

Captures how new and current volunteers discover an opportunity, decide to sign up, and experience the application and onboarding process — with an AI follow-up that digs into the real reason behind their strongest motivator or biggest friction point. Built for nonprofits and volunteer coordinators optimizing recruitment funnels and retention.

Measures how satisfied members are with your nonprofit's value, communication, and mission impact, plus renewal intent and which benefits matter most. Built for membership and development teams, with an AI follow-up interview that digs into the specific reasons behind each member's renewal decision so you know what to fix or protect before dues are due.

Measures how easily new volunteers move from initial interest to their first shift — sign-up friction, communication clarity, and motivation — for nonprofit volunteer coordinators. An AI follow-up interview reconstructs the specific moment where enrollment stalled or shined, surfacing fixes that closed-ended ratings alone would miss.

Maps the professional skills, interests, and time capacity of prospective or current volunteers so nonprofits can match people to the right skills-based roles. An AI follow-up interview digs into why a volunteer's top skill area excites them and what would actually get in the way of them signing up.

Measures why donors give, what shapes their satisfaction with the giving experience, and how likely they are to give again — covering motivations, program allocation preferences, and price sensitivity for asks. An AI follow-up interview reconstructs the real story behind each donor's likelihood-to-give-again score.

Screens prospective volunteers on motivation, availability, skills, and role fit, using a best-worst trade-off question to surface which roles they actually want most (not just tolerate). An AI follow-up interview digs into the story behind their top motivation and preferred role so coordinators can place new volunteers well from day one.

Gauges how members feel about a community or nonprofit fitness center — value for cost, facility quality, program fit, and likelihood to renew — for recreation departments, YMCAs, and community centers tracking retention. An AI follow-up interview digs into the real reason behind a member's renewal decision so staff can act on it, not just the number.

Gauges how satisfied community members are with an organization's programs, services, and communication, and what would most improve their experience. Built for nonprofits, civic groups, and neighborhood associations; the AI follow-up interview digs into the specific experience behind each person's satisfaction rating and top priority instead of settling for a number.

Measures how members perceive the value of their dues, where pricing tolerance breaks down, and which benefits justify the fee — for associations and nonprofits weighing a rate change. An AI follow-up interview digs into the reasoning behind each member's value rating instead of just the number.

Captures how donors feel about your communication, transparency, and impact reporting, plus what would make them give again — with an AI follow-up that digs into the real reasons behind their loyalty or hesitation instead of just a score. Built for development and fundraising teams running annual or post-campaign donor check-ins.

Measures how members experience and value your online fashion community — participation habits, sense of belonging, content quality, and moderation trust — with an AI follow-up that digs into the specific moment a member felt most (or least) connected. Built for community managers and nonprofit-style membership programs running fashion forums, swap groups, or style-sharing platforms.

Measures how clear, fast, and motivating your membership application process feels to new applicants — for associations, unions, clubs, and advocacy groups. An AI follow-up interview reconstructs why the applicant actually joined and what nearly made them abandon the form.

Explores how, why, and how much people give to charitable causes — covering giving channels, trust, cause priorities, and barriers to giving more. An AI follow-up interview digs into the real story behind a donor's most recent or largest gift, surfacing motivations and friction that closed-ended questions miss.

Measures how connected members feel to their church community, how often they actually attend and participate, and how likely they are to stay or invite others — with an AI follow-up that surfaces the real reasons behind disengagement or hesitation to invite friends. Built for pastors, elders, and ministry teams tracking congregational health.

Captures how volunteers actually experience your program — onboarding, communication, recognition, and impact — and gauges whether they'll return or recommend it to others. Built for volunteer coordinators and nonprofit program managers, with an AI follow-up that digs into the specific moment behind a volunteer's recommendation score instead of a flat rating.

Measures how congregants experience sermon relevance, community belonging, volunteering barriers, and the newcomer welcome — built for pastors, elders, and ministry teams planning where to invest attention. An AI follow-up reconstructs a real moment someone almost volunteered (or did), instead of settling for generic reasons like 'too busy.'

Captures how attendees experienced your fundraising event — pacing, program, and the ask itself — and what actually shaped their decision to give or not. Built for nonprofits and event teams who want donor-level insight beyond a satisfaction score, with an AI follow-up that reconstructs the real moment of the giving decision instead of generic ratings.

Measures how volunteers experienced a specific event — whether their role was clear, the event ran smoothly, and their contribution felt meaningful — then gauges likelihood to return. Built for event organizers and volunteer coordinators; the AI follow-up digs into the specific moment that shaped whether a volunteer would sign up again.

Measures resident awareness, barriers, and channel/format preferences for zoning and land use public engagement. Designed for municipal planning departments seeking to improve community outreach equity and participation rates.

Evaluates new volunteers' first-month experience across onboarding clarity, training quality, support access, and barriers, with NPS as a key outcome. Designed for nonprofit volunteer programs seeking to identify onboarding gaps and improve early retention.

A concise pulse survey for nonprofit volunteer coordinators to measure volunteer motivation, scheduling satisfaction, recognition preferences, and retention likelihood—supporting data-driven engagement and retention strategies.

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

A resident feedback instrument for municipalities and civic organizations to assess sidewalk accessibility, physical condition, ADA barriers, and maintenance priorities. Designed for community-wide distribution to inform walkability planning and repair prioritization.

Measures public transit riders' perceptions of service reliability, personal safety, and station accessibility to identify and prioritize service improvements across bus and rail systems.

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.

Gathers resident feedback on city service satisfaction, spending priorities, and fiscal trade-offs to inform local government budget planning and resource allocation decisions.

Tests donor-facing messages and calls to action to identify which language most motivates giving. Designed for nonprofit marketing teams seeking data-driven guidance on fundraising communications.

Measures donor perceptions of nonprofit communications clarity, online giving usability, and post-gift stewardship to identify key drivers of satisfaction and retention.

Measures resident satisfaction, process clarity, response timeliness, and institutional trust in city noise complaint handling. Designed for 311 and civic service teams seeking actionable feedback to reduce bottlenecks and improve complaint resolution.

A civic research instrument for municipalities to assess resident perceptions and experiences with e-scooter and e-bike safety, parking compliance, and enforcement preferences. Suitable for both micromobility users and non-users.

Measures resident satisfaction with local park amenities, safety, and programming to help municipal parks departments prioritize improvements and track service quality over time.

Measures patron satisfaction and friction points across material discovery, hold management, and digital resource usage to prioritize service improvements for public libraries.

Diagnoses reporting pain points, tool gaps, and workflow bottlenecks among nonprofit staff to inform targeted operational improvements. Designed for 6–8 minute completion by any staff member involved in organizational reporting.

Measures resident satisfaction with public records/FOIA request processes—covering clarity of guidance, response timelines, fee transparency, and overall ease—to help government agencies and civic organizations identify actionable improvement priorities.

Measures citizen satisfaction with online government services across usability, accessibility, transparency, and support preferences. Designed for public-sector agencies seeking actionable feedback to improve digital service delivery.

Measures donor satisfaction with recognition practices, organizational transparency, and impact reporting quality to inform stewardship strategy and improve donor retention.

Measures driver support, perceived fairness, willingness to pay, and revenue allocation preferences for congestion pricing. Designed for city agencies and transportation policy researchers studying public acceptance before or after zone implementation.

A structured needs assessment for local governments and nonprofits to identify residents' service priorities, access barriers, and communication preferences to guide resource allocation.

Measures resident support for community microgrids, preferred ownership models, participation willingness, and priority tradeoffs. Designed for municipal planners and civic organizations assessing community readiness for local energy infrastructure.

Measures resident satisfaction with municipal 311 non-emergency services across submission channels, response timeliness, resolution outcomes, and institutional trust to guide service improvement priorities.