모든 템플릿

Campaign Donor Motivation and Retention Survey

Captures why donors gave to a specific fundraising or political campaign, how smooth the giving experience felt, and how likely they are to give again — with an AI follow-up that digs into the real reasons behind a donor's likelihood-to-repeat score instead of a generic satisfaction rating. Built for nonprofits, campaigns, and cause marketers running donation drives.

샘플 질문

템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.

질문 13개 · 약 7분
Q01
메시지

Thanks so much for supporting (Replace with campaign or organization name) — we'd love your honest feedback on the experience. Your responses are completely confidential and anonymized. This takes about 4-5 minutes and helps us run better campaigns. (Template note: personalize with your campaign name before sending.)

Q02
객관식필수

How did you first learn about this campaign?

  • Email
  • Social media
  • Text message
  • Direct mail
  • Word of mouth from a friend or family member
  • Website or search
  • An event
  • Other
Q03
최선·최악 선택형(MaxDiff)필수

Thinking about your decision to donate, which of these mattered most and which mattered least?

  • Belief in the cause or impact
  • Trust in the organization or candidate
  • Personal connection to the issue
  • Urgency of the appeal or deadline
  • How easy the giving process was
  • Seeing others (friends, peers) already giving
  • A matching gift offer
  • Tax benefits of donating
세트별 최선·최악 선택최선:Mattered most최악:Mattered least
Q04
평점 척도필수

How easy was the actual process of making your donation (finding the link, filling out the form, completing payment)?

범위: 15
최소:Very difficult최대:Very easy
Q05
의견 척도필수

How compelling was the message asking you to donate?

척도: 17
최소:Not at all compelling최대:Extremely compelling
Q06
의견 척도필수

How likely are you to donate to this same campaign or organization again in the next 12 months?

척도: 010
최소:Not at all likely최대:Extremely likely
Q07
AI 인터뷰

Probe the reasoning behind the respondent's likelihood-to-donate-again score, anchoring on the specific number they gave. If it's low (0-6), find out what would need to change — trust, communication, cost of living, disagreement with how funds were used, or something else — and whether it's about the cause or the experience. If it's high (7-10), find out what single thing would most increase their gift size or frequency next time.

Q08
객관식

Going forward, how would you prefer to give to this cause?

  • One-time gifts only, as I choose
  • A small recurring monthly donation
  • A larger annual donation
  • Not sure yet
Q09
객관식

How would you prefer to hear about future updates or asks from this campaign?

  • Email
  • Text message
  • Social media
  • Phone call
  • Direct mail
  • I'd rather not be contacted again
Q10
숫자

In the past 12 months, roughly how many other causes or campaigns have you donated to (besides this one)?

Q11
객관식

Which age range do you fall into?

  • Under 25
  • 25-34
  • 35-44
  • 45-54
  • 55-64
  • 65 or older
  • Prefer not to say
Q12
객관식

Which best describes your household income?

  • Under $50,000
  • $50,000-$99,999
  • $100,000-$149,999
  • $150,000 or more
  • Prefer not to say
Q13
메시지

That's everything — thank you for your generosity and for your time today. Your feedback goes directly into how we plan future donation campaigns and donor communications.

포함된 기능

  • AI 후속 질문

    정형화된 설문이 놓치는 세부 내용을, 주관식 답변에 맞춰 AI가 심층 질문으로 끌어냅니다.

  • 주의력 확인 장치

    성의 없는 답변과 저품질 응답자를 걸러내는 내장 안전장치입니다.

  • AI가 작성한 문안

    문구, 질문 순서, 분기 로직까지 AI가 연구 목표에 맞춰 작성합니다.

  • 자동 리포트

    응답이 모이면 주요 주제, 인용문, 이해하기 쉬운 요약이 자동으로 작성됩니다.

다른 서비스와 비교

다른 설문 도구의 가장 유사한 템플릿을 검토했습니다. 그 도구들이 잘하는 점과, 이 템플릿이 한발 더 나아가는 지점을 정리했습니다.

이 템플릿을 선택하는 이유

  • Goes beyond a one-time transaction to ask why donors gave, using an AI follow-up interview that probes the real reasoning behind each respondent's likelihood-to-donate-again score instead of stopping at a flat rating
  • Pairs behavioral diagnostics (rating how easy the actual giving process was) with motivational diagnostics (opinion scale on message strength, MaxDiff on what mattered most/least in the decision to give) in a single flow
  • Captures forward-looking preferences — preferred way to give again and preferred channel for future updates/asks — so retention insights are immediately actionable
  • Adds context via other-causes-donated and basic demographics, then compiles everything into an auto-generated report instead of raw export data

Jotform

Campaign Donation Form Template

This is a transactional donation form (name, amount, payment details) for collecting a gift, not a survey exploring donor motivation or retention. It's a fielding-ready template, but for a different purpose than diagnosing why someone gave or whether they'll return.

잘하는 점

  • Drag-and-drop form builder with payment/checkout integrations typical of Jotform's donation templates
  • Quick to deploy for actually processing a donation, not just researching it
  • Broad template library covering many campaign/fundraising use cases

아쉬운 점

  • No questions probing motivation, message effectiveness, or likelihood to repeat — it's built to collect money, not insight
  • Static form fields only; no adaptive follow-up that digs into a donor's reasoning
  • No automated per-response quality scoring or auto-generated donor-insight report

SurveyMonkey

Campaign Donation Form Template

Despite the SurveyMonkey branding, this is again framed as a donation-collection form rather than a post-donation motivation/retention survey. Useful for capturing gift and contact details, but it doesn't investigate why donors gave or what drives repeat giving.

잘하는 점

  • Backed by SurveyMonkey's established survey platform and distribution tools
  • Simple to customize for basic donor/contact data collection
  • Familiar interface for teams already using SurveyMonkey for other research

아쉬운 점

  • Static question set with no adaptive AI follow-up to explore the reasoning behind a donor's retention likelihood
  • No voice AI interview option or guided task/screen-share capability
  • No transparent, inspectable AI prompts or automated per-response quality scoring — reporting is limited to standard survey analytics

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