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.

신규 회원이 가입, 오리엔테이션, 그리고 조직 초기 참여 과정을 어떻게 경험하는지, 그리고 무엇이 재가입 또는 참여 확대를 예측하는지 측정합니다. AI 후속 인터뷰는 각 회원의 재가입 가능성 뒤에 숨은 실제 이유를 깊이 파고들어, 폐쇄형 질문이 놓치는 마찰 지점을 드러냅니다. 비영리단체, 협회, 시민단체를 위해 설계되었습니다.

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.

신규 자원봉사자가 최초의 관심에서 첫 봉사 활동까지 얼마나 수월하게 이동하는지를 측정합니다 — 가입 과정의 마찰, 안내의 명확성, 동기 부여를 비영리 자원봉사 코디네이터를 위해 살펴봅니다. AI 후속 인터뷰는 등록이 지연되거나 순조로웠던 구체적인 순간을 재구성하여, 폐쇄형 평가만으로는 놓칠 수 있는 개선점을 드러냅니다.

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.

신규 신청자에게 회원 가입 신청 절차가 얼마나 명확하고 빠르며 동기를 부여하는지 측정합니다 — 협회, 노동조합, 클럽, 시민단체를 위한 설문입니다. AI 후속 인터뷰를 통해 신청자가 실제로 가입한 이유와 신청서 작성을 거의 포기할 뻔한 요인을 재구성합니다.

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.

성도들이 교회 공동체에 얼마나 연결되어 있다고 느끼는지, 실제로 얼마나 자주 출석하고 참여하는지, 계속 남거나 다른 사람을 초대할 가능성이 얼마나 되는지를 측정합니다. AI 후속 질문을 통해 참여 저하나 친구 초대를 망설이는 진짜 이유를 파악합니다. 목회자, 장로, 사역팀이 교인들의 건강 상태를 파악할 수 있도록 설계되었습니다.

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.

성도들이 설교의 실질적 유익, 공동체 소속감, 봉사의 걸림돌, 새신자 환영을 어떻게 경험하는지를 측정하며, 목회자·장로·사역팀이 어디에 관심을 집중할지 계획할 수 있도록 설계되었습니다. AI 후속 질문은 '너무 바빠서' 같은 일반적인 이유에 그치지 않고, 누군가가 봉사를 거의 시작할 뻔했던(또는 실제로 시작했던) 실제 순간을 재구성합니다.

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.

자원봉사자가 특정 행사를 어떻게 경험했는지 — 자신의 역할이 명확했는지, 행사가 원활하게 진행되었는지, 자신의 기여가 의미 있게 느껴졌는지 — 를 측정한 후 재참여 의향을 파악합니다. 행사 주최자와 자원봉사 코디네이터를 위해 제작되었으며, AI 후속 질문은 자원봉사자가 다시 신청할지 여부를 결정지은 구체적인 순간을 깊이 있게 파고듭니다.

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.

버스 및 철도 시스템 전반에서 서비스 개선 사항을 파악하고 우선순위를 정하기 위해 대중교통 이용자의 서비스 신뢰성, 개인 안전, 역 접근성에 대한 인식을 측정합니다.

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.

사용성, 접근성, 투명성, 지원 선호도 전반에 걸쳐 온라인 정부 서비스에 대한 시민 만족도를 측정합니다. 디지털 서비스 제공을 개선하기 위해 실행 가능한 피드백을 구하는 공공 부문 기관을 위해 설계되었습니다.

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.