모든 템플릿

Altruistic Gift-Giving Motivations & Behavior Survey

Explores how people actually give — money, time, or goods — to causes and people outside their immediate family, and unpacks the emotional, social, and practical trade-offs behind those choices. Built for nonprofits, gifting platforms, and CSR teams; the AI follow-up interview reconstructs the real story behind a respondent's most recent act of generosity instead of the tidy, stated reason.

샘플 질문

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

질문 12개 · 약 7분
Q01
메시지

Thanks for taking a few minutes to talk about giving and generosity! Your responses are completely confidential and anonymized. We're curious how you actually give to others — no right answers, just your honest experience. About 5 minutes.

Q02
객관식필수

In the last 12 months, how have you supported causes or people in need through giving?

  • Donated money to a charity or cause
  • Bought or sent a gift for someone facing hardship
  • Volunteered my time for a cause
  • Donated goods or belongings
  • Contributed to a crowdfunding campaign
  • Given money or gifts directly to a stranger or acquaintance in need
  • None of these
Q03
숫자필수

In the past 3 months, how many separate times have you given money, goods, or your time to someone outside your immediate family without expecting anything back?

Q04
점수 배분필수

Imagine you have $100 to give away this year. How would you split it across these causes?

  • Family or friends facing hardship
  • Local community causes
  • Environmental causes
  • Global humanitarian relief
  • Animal welfare
  • Religious or spiritual giving
100점 배분
Q05
매트릭스필수

How much do you agree with each statement about why you give?

5개 행 × 5개 열
  • Giving makes me feel personally good
  • I give because it's socially expected of me
  • Tax or financial benefits influence how much I give
  • I give more when I have a personal connection to the recipient
  • I want to model generous behavior for people who look up to me
: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q06
최선·최악 선택형(MaxDiff)필수

Which of these most and least influence how much you give?

  • Emotional connection to the recipient
  • Trust that the organization will use the gift well
  • Tax deductibility of the gift
  • Recognition from peers or community
  • How easy the giving process is
  • Seeing evidence of the impact afterward
  • Religious or moral duty
  • Personal habit or family tradition
세트별 최선·최악 선택최선:Influences my giving the most최악:Influences my giving the least
Q07
순위 매기기

Rank these ways of giving from most to least preferred when you want to help someone.

  1. Giving cash directly
  2. Giving a physical gift
  3. Volunteering my time
  4. Giving a gift card
  5. Contributing to a crowdfunding campaign
  6. Donating in-kind goods
드래그하여 순위 지정
Q08
의견 척도필수

How likely are you to keep giving at this same level over the next 12 months?

척도: 010
최소:Not at all likely최대:Extremely likely
Q09
AI 인터뷰

Reconstruct the story behind the respondent's most recent act of generosity toward someone outside their immediate family: what prompted it, who it was for, whether it was planned or spontaneous, and how they decided how much to give. If they indicated tax benefits or recognition drive their giving, probe gently whether that's the real reason or a rationalization added after the fact. If they report little or no recent giving, explore what would need to change for them to start.

Q10
객관식

Which age range are you in?

  • Under 18
  • 18-24
  • 25-34
  • 35-44
  • 45-54
  • 55-64
  • 65 or older
  • Prefer not to say
Q11
객관식

What is your approximate annual household income?

  • Under $30,000
  • $30,000-$59,999
  • $60,000-$99,999
  • $100,000-$149,999
  • $150,000 or more
  • Prefer not to say
Q12
메시지

That's everything — thank you for sharing how you give! Your answers will feed into research on what actually motivates generosity, helping causes and gifting programs design better ways to ask.

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 real story behind a respondent's most recent act of generosity, instead of relying on the tidy reason people first type in
  • Pairs quantitative trade-off tools — a $100 constant-sum allocation, max-diff on giving motivations, and a ranking of preferred giving channels — with matrix and opinion-scale questions to triangulate stated vs. revealed motivations
  • Every response is automatically quality-scored and the AI's interview prompts are transparent, so nonprofits and CSR teams can audit exactly what was asked and why
  • Auto-generated reports turn the mix of structured questions and reconstructed narratives into a ready-to-share summary, with no manual coding of open-ends required

QuestionPro

Altruism gift giving survey questions + Sample questionnaire template

This is a sample questionnaire/template page listing altruism and gift-giving questions rather than a fielding-ready adaptive survey. It's useful as a static question bank for researchers building their own instrument on QuestionPro's platform, but it doesn't reconstruct or probe individual giving stories. Good topical overlap with QuestionPunk's template, but the depth comes from question count, not follow-up depth.

잘하는 점

  • Directly relevant sample question set covering altruism and gift-giving behavior
  • Backed by a large, established survey platform with broad distribution and analysis tooling
  • Free to view and likely easy to copy into a QuestionPro survey

아쉬운 점

  • Static question list with no adaptive AI follow-up to probe the real story behind a specific act of giving
  • No automated per-response quality scoring or transparent prompt methodology
  • No mention of voice AI interviews or guided screen-share tasks for deeper qualitative context

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