Customer Referral Behavior & Program Effectiveness Survey
Measures how likely customers are to refer your business, what actually motivates them to do it, and where your referral program or incentives fall short — with an AI follow-up that digs into the real reasons behind a customer's referral score instead of taking the number at face value. Built for sales, customer success, and growth teams running or designing referral programs.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
How likely are you to refer (Replace with your company name) to a friend or colleague?
In the last 6 months, have you referred anyone to (Replace with your company name)?
- Yes, one person
- Yes, multiple people
- No, but I've considered it
- No, I haven't considered it
Are you aware that we have a referral rewards program?
- Yes, and I've participated in it
- Yes, but I haven't participated
- No, I wasn't aware of it
Which of the following would most encourage you to refer others to us?
- Cash reward
- Discount on future purchases
- Account credit
- Donation to a charity of my choice
- Public recognition (e.g. shoutout, badge)
- Exclusive perks or early access
- Faster or priority support
If you had 100 points to split across these reward types based on what would matter most to you, how would you allocate them?
- Cash reward
- Discount on future purchases
- Account credit
- Charitable donation
- No reward needed — I'd refer anyway
How much do you agree with each statement about our referral program?
- The referral process was easy to complete
- I clearly understood how I'd be rewarded
- I received my reward in a reasonable amount of time
- I would recommend this program itself to other customers
Probe the reasoning behind the respondent's referral likelihood score. If it was high, find a specific person they thought of referring or did refer, and what would need to be true for them to actually follow through or refer again. If it was low or middling, identify the specific hesitation — trust in the product, lack of a compelling reward, not knowing how, or fear of bothering their contact — and ask what single change would move their score up. If they said they aren't aware of the referral program, ask what they'd expect from one before they'd use it.
How large is your company? (Prefer not to say is fine)
- Just me
- 2-10 employees
- 11-50 employees
- 51-200 employees
- 201-1000 employees
- 1000+ employees
- Prefer not to say
How long have you been a customer of (Replace with your company name)?
- Less than 6 months
- 6 months to 1 year
- 1-2 years
- More than 2 years
- Prefer not to say
Thank you for sharing your thoughts! We'll use your answers to improve our referral program and make it easier and more rewarding to recommend us.
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
- Includes a dedicated AI follow-up interview that probes the actual reasoning behind a customer's referral likelihood score instead of just recording the number
- Uses a MaxDiff exercise and a constant-sum points allocation to reveal which incentives customers genuinely value, not just top-of-mind guesses
- Includes a matrix question to measure agreement across multiple referral-program statements in one structured view, plus firmographic and tenure questions for segmentation
- Opens and closes with conversational chat messages that frame the survey and set expectations, making it feel like a guided conversation rather than a static form
Jotform
Sales Referral Form TemplateThis is a static, fielding-ready form for capturing sales referral submissions (e.g., referrer/referee contact details) rather than a survey designed to measure referral sentiment or program effectiveness. It's easy to drag-and-drop customize within Jotform's form builder. It's built for lead capture, not for diagnosing why customers do or don't refer.
잘하는 점
- Ready-to-use, no-code form builder with drag-and-drop customization
- Likely integrates with Jotform's broader form ecosystem (notifications, conditional logic, integrations)
- Simple structure suited for quick referral lead capture
아쉬운 점
- Static form fields only — no adaptive AI follow-up to probe why a customer would or wouldn't refer
- No built-in mechanism to weigh or rank incentive preferences (e.g., MaxDiff or points allocation)
- No transparent, published methodology behind question design or scoring
SurveySparrow
Sales Referral Form Template for all businessesA conversational-style referral form template aimed at general businesses, focused on collecting referral submissions rather than diagnosing referral motivation or program gaps. SurveySparrow's chat-like UI is a genuine strength for engagement, but the template appears oriented toward lead intake, not behavioral measurement. No mention of adaptive follow-up questioning tied to a respondent's specific answer.
잘하는 점
- Conversational, chat-style survey format that can feel more engaging than a static form
- Applicable across different business types out of the box
- Likely supports SurveySparrow's standard branching/logic features
아쉬운 점
- No adaptive AI interview that digs into the reasoning behind a low or high referral score
- No structured trade-off tools (MaxDiff, constant-sum) to prioritize which incentives actually motivate referrals
- No automated per-response quality scoring or auto-generated analytical report
SurveyMonkey
Referral Form TemplateA general-purpose referral form template from a major survey platform, likely usable for collecting basic referral information or simple satisfaction-style questions. It doesn't appear tailored specifically to referral program effectiveness (incentive design, motivation drivers) for sales/CS/growth teams. As a static template, it depends on manual analysis to interpret open-ended or scaled responses.
잘하는 점
- Backed by a well-established survey platform with broad distribution options
- Simple, familiar template structure that's quick to deploy
- Likely includes standard SurveyMonkey analytics/reporting on closed-ended questions
아쉬운 점
- No adaptive AI follow-up interview to explore the real reasons behind a referral score
- No voice AI interview option or guided task/screen-share capability
- No transparent, published prompts or methodology for how questions or scoring are derived
자주 묻는 질문
“Customer Referral Behavior & Program Effectiveness Survey” 템플릿에는 어떤 질문이 포함되어 있나요?
바로 사용할 수 있는 질문 11개가 포함되어 있으며, 처음 질문은 다음과 같습니다: “Hi! We're trying to understand how customers feel about referring (Replace with your company name) to others, and how we…” · “How likely are you to refer (Replace with your company name) to a friend or colleague?” · “In the last 6 months, have you referred anyone to (Replace with your company name)?”. 전체 질문은 위에서 미리 볼 수 있고 모두 수정 가능합니다.
이 설문을 완료하는 데 얼마나 걸리나요?
응답자는 보통 질문 11개를 약 6분 안에 완료합니다.
템플릿을 수정할 수 있나요?
네. 설문을 공개하기 전에 모든 질문, 답변 옵션, 순서를 자유롭게 수정할 수 있습니다. 질문을 추가·삭제하거나 AI 편집기에 연구 목표에 맞춘 재구성을 요청할 수도 있습니다.
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네. 편집기에서 바로 열어 수정을 시작할 수 있습니다. 체험에는 계정이 필요 없으며, 무료 플랜으로 설문을 공개할 수 있습니다.
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이 템플릿을 편집기에서 열어 보세요. 첫 응답자가 보기 전에 모든 부분을 원하는 대로 바꿀 수 있습니다.
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