모든 템플릿

Non-Profit Donation Request Response Survey

Measures how supporters responded to a specific fundraising appeal — whether they gave, what almost stopped them, and which parts of the ask felt trustworthy or confusing. Built for development and communications teams testing a letter, email, or campaign, with an AI follow-up that surfaces the real reasoning behind the give/no-give decision.

샘플 질문

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

질문 14개 · 약 7분
Q01
메시지

Thanks for taking a few minutes to share your experience with our recent donation request. Your responses are completely confidential and anonymized. Your honest feedback — whether or not you gave — helps us communicate better in the future. About 8 minutes.

Q02
객관식필수

Did you make a donation in response to (Replace with your organization's name)'s most recent donation request? (Template note: name the specific appeal, e.g. 'Spring Appeal letter', before launching.)

  • Yes, I donated
  • No, but I seriously considered it
  • No, I did not consider it
  • I don't recall receiving it
Q03
객관식

How did you receive this donation request?

  • Email
  • Direct mail letter
  • Text message
  • Social media
  • Phone call
  • In person
Q04
의견 척도필수

How clear was the request about what your donation would actually fund?

척도: 15
최소:Not at all clear최대:Extremely clear
Q05
평점 척도필수

How compelling was the story or case for support presented in the request?

범위: 15
최소:Not at all compelling최대:Extremely compelling
Q06
매트릭스필수

How much do you agree with each statement about the request you received?

4개 행 × 5개 열
  • It made me feel my gift would make a real difference
  • It was easy to act on (clear amount, clear way to give)
  • The need felt urgent and genuine, not exaggerated
  • I trusted that my donation would be used as described
: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q07
점수 배분필수

When you decide whether to donate to a cause, how do you weigh these factors? Split 100 points across them based on their importance to you.

  • Trust in the organization
  • Emotional connection to the cause
  • Tax deduction benefit
  • Ease of the donation process
  • Recommendation from someone I know
  • Amount being requested
100점 배분
Q08
최선·최악 선택형(MaxDiff)필수

Which of these would do the most, and least, to make you likely to donate again in the future?

  • A personal thank-you (call, note, or email)
  • Seeing a report on the impact of past gifts
  • A matching gift offer
  • A lower suggested donation amount
  • An easy recurring/monthly giving option
  • Public recognition or a naming opportunity
  • A simpler, faster donation process
세트별 최선·최악 선택최선:Most motivating최악:Least motivating
Q09
AI 인터뷰

Reconstruct the respondent's actual decision-making moment when they read or received this donation request: what caught their attention first, what nearly made them give (or not give), and any hesitation or friction they hit along the way. If they didn't donate, probe what specific change to the ask — amount, framing, timing, or channel — would have tipped their decision. If they did donate, probe what almost stopped them anyway.

Q10
의견 척도필수

How likely are you to donate to (Replace with your organization's name) again in the next 12 months?

척도: 010
최소:Not at all likely최대:Extremely likely
Q11
객관식

In the past 12 months, about how many different charitable organizations have you donated to?

  • None
  • 1
  • 2-3
  • 4-6
  • 7 or more
  • Prefer not to say
Q12
드롭다운

Which age range best describes you?

  • Under 25
  • 25-34
  • 35-44
  • 45-54
  • 55-64
  • 65+
  • Prefer not to say
Q13
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
Q14
메시지

That's everything — thank you for your honesty and your support. Your responses will be reviewed by our fundraising team to make future donation requests clearer and more meaningful.

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

  • Uses an AI follow-up interview to reconstruct the actual moment a supporter decided to give or not give, surfacing hesitations and trust cues that closed-ended questions miss
  • Pairs a constant-sum question (how donors weigh giving factors) with a max-diff exercise on what would drive repeat giving, so comms teams get ranked, tradeoff-based data rather than isolated ratings
  • Includes a matrix of agreement statements plus separate opinion-scale and rating items on clarity of fund use, compelling-ness of the case for support, and likelihood to give again — letting teams isolate which part of the ask worked or didn't
  • Opens and closes with conversational chat messages and asks how the request was received (letter, email, campaign), so results can be segmented by channel while still feeling like a personal conversation, not a form

QuestionPro

Non Profit Donation Request Survey Questions + Sample Questionnaire Template

This is a genuine survey template (not a payment/collection form) aimed at understanding donor reactions to a fundraising ask, making it the most directly comparable competitor. It reads as a sample questionnaire within QuestionPro's broader survey-building platform rather than a purpose-built, single-use instrument. Question set appears static and manually customized rather than adaptive to each respondent's answers.

잘하는 점

  • Backed by an established, general-purpose survey platform with a large question-template library
  • Provides a ready sample questionnaire structure covering donor experience topics
  • Likely allows standard customization (branding, question logic) within QuestionPro's editor

아쉬운 점

  • Fixed question list with no adaptive AI follow-up to probe why a respondent almost didn't give or found something confusing
  • No mention of automated per-response quality scoring or auto-generated qualitative reports
  • No transparent, inspectable AI prompts — respondents get the same static questions regardless of their answers

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