Q01
메시지
모든 템플릿
Discount and Promotion Sensitivity Survey
Measures how deal-driven your customers really are: what triggers a discount-motivated purchase, whether frequent promotions erode brand perception, and how willing shoppers are to pay full price. An AI follow-up reconstructs the last purchase decision they made under a discount to separate genuine price sensitivity from habit.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
질문 12개 · 약 7분
Q02
객관식필수
In the last 3 months, how often did you buy from (Replace with your brand/category) only because it was discounted?
- Never — I don't wait for sales
- Rarely, once or twice
- About half the time
- Most of the time
- Almost always
Q03
객관식필수
Which of these promotion types have gotten you to buy in the last 3 months? Select all that apply.
- Percent-off discount
- Buy-one-get-one (BOGO)
- Free shipping threshold
- Loyalty/points reward
- Flash sale / limited-time deal
- Bundle deal
- First-time customer discount
Q04
최선·최악 선택형(MaxDiff)필수
Thinking about promotions in general, which of these matter most to you, and which matter least?
- Percent-off discount
- Buy-one-get-one (BOGO)
- Free shipping threshold
- Loyalty/points reward
- Flash sale / limited-time deal
- Bundle deal
- First-time customer discount
세트별 최선·최악 선택최선:Matters most최악:Matters least
Q05
객관식필수
What's the smallest discount that would actually change your decision to buy something you were already considering?
- Any discount at all
- Less than 10% off
- 10–20% off
- 20–30% off
- 30% or more off
- Discount size doesn't matter to me
Q06
의견 척도필수
If (Replace with your brand) never ran a sale again, how willing would you be to keep buying it at full price?
척도: 1 – 7
최소:Not willing at all최대:Completely willing
Q07
매트릭스필수
How much do you agree with each statement?
5개 행 × 5개 열
- Frequent discounts make me think a brand is lower quality
- I actively wait for a sale before purchasing something I want
- I'd stay loyal to a brand I like even without discounts
- Constant sales make me trust the regular price less
- A discount makes me buy sooner than I otherwise would have
열: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q08
점수 배분필수
You have 100 points to distribute across what actually drives your purchase decision for (Replace with your category). Allocate more points to what matters more.
- Price / discount available
- Brand reputation
- Product quality
- Convenience / availability
- Reviews or recommendations
100점 배분
Q09
AI 인터뷰
Reconstruct the respondent's most recent purchase from (Replace with your brand/category) that involved a discount: what the deal was, whether they would have bought anyway without it, and how much time passed between seeing the promo and buying. If they said discounts don't matter to them, probe whether that holds for an actual recent purchase or is aspirational self-image. If they flagged quality concerns from frequent discounting, ask for a specific example.
Q10
객관식
What is your age range?
- Under 18
- 18–24
- 25–34
- 35–44
- 45–54
- 55–64
- 65 or older
- Prefer not to say
Q11
객관식
Which best describes your 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! Your responses will help us decide when and how much to discount without training customers to only buy on sale.
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 an AI follow-up interview block that reconstructs the respondent's actual last discount-driven purchase, separating genuine price sensitivity from habitual deal-seeking rather than relying on hypothetical self-report.
- Combines quantitative trade-off methods (best-worst trade-off, point-allocation) with attitudinal measures (matrix, rating-scale) so you get both stated priorities and a forced-tradeoff ranking of what really drives purchase decisions.
- Asks for the smallest discount threshold that would change a buying decision, giving a concrete pricing lever instead of vague sensitivity scores.
- Automated per-response quality scoring and an auto-generated report mean the open-ended AI follow-up data is usable without manual coding.
SurveySparrow
Price Sensitivity Questionnaire TemplateA fielding-ready questionnaire template focused on price sensitivity, likely covering standard willingness-to-pay style questions. It's a static question set built for quick deployment rather than a discount-behavior deep dive. No mention of adaptive follow-up or purchase reconstruction.
잘하는 점
- Ready-to-use price sensitivity template
- Part of a broader survey platform with distribution and reporting tools
- Likely supports standard question types (scales, multiple choice) for quick setup
아쉬운 점
- No adaptive AI follow-up to reconstruct a specific past purchase decision
- No published per-response quality scoring or prompt transparency
- Static questionnaire format can't probe deeper into individual respondent reasoning
Typeform
Price Sensitivity Survey TemplateA conversational-style form template aimed at gauging price sensitivity, benefiting from Typeform's polished UX and completion rates. It's a fixed question flow, not an AI-driven interview, so all respondents get the same static prompts. Good for quick directional signal, less suited to distinguishing habit from true sensitivity.
잘하는 점
- Clean, high-completion-rate form design
- Easy to customize and brand
- Simple setup for standard price sensitivity questions (e.g., Van Westendorp-style)
아쉬운 점
- No adaptive follow-up questions based on individual answers
- No voice AI interview or guided task/screen-share option
- Lacks automated quality scoring or transparent prompt methodology for open text responses
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이 템플릿을 편집기에서 열어 보세요. 첫 응답자가 보기 전에 모든 부분을 원하는 대로 바꿀 수 있습니다.