Q01
메시지
모든 템플릿
General Shopping Behavior & Demographics Survey
Maps how, where, and why people shop — channel mix, category spend, decision drivers, and core demographics — with an AI follow-up interview that reconstructs a recent real purchase decision instead of relying on stated preferences. Built for retail, e-commerce, and market-sizing teams profiling a customer base.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
질문 14개 · 약 7분
Q02
객관식필수
Which best describes how you shopped in the last 30 days?
- Only online
- Mostly online, some in-store
- Mostly in-store, some online
- Only in-store
- I didn't shop at all
Q03
객관식필수
Which channel do you use most often when you shop?
- A large online marketplace (e.g., Amazon)
- A brand or retailer's own website or app
- A physical retail store
- Social media shopping (e.g., posts, live shopping, ads)
- Other
Q04
점수 배분필수
Thinking about your typical monthly spending, allocate 100 points across these categories based on how much you spend on each.
- Groceries & household essentials
- Clothing & apparel
- Electronics & tech
- Health & beauty
- Home & furniture
- Entertainment & leisure
100점 배분
Q05
순위 매기기필수
Rank the following from most to least influential when you decide what to buy.
- Price
- Product quality
- Convenience or speed
- Brand reputation
- Customer reviews
- Return policy
- Sustainability or ethical practices
드래그하여 순위 지정
Q06
매트릭스필수
How important is each of the following when you choose where to shop?
5개 행 × 5개 열
- Free shipping
- Fast delivery
- Easy returns
- Ease of use of the website or app
- Quality of customer service
열: Not important · Slightly important · Moderately important · Very important · Extremely important
Q07
의견 척도필수
How likely are you to increase your online shopping over the next 3 months?
척도: 0 – 10
최소:Very unlikely최대:Very likely
Q08
객관식
Which payment method do you use most often when shopping?
- Credit or debit card
- Digital wallet (e.g., Apple Pay, PayPal)
- Buy now, pay later
- Cash
- Other
Q09
AI 인터뷰
Reconstruct the respondent's most recent real purchase: what they bought, which channel they used, and why they chose that channel over the alternatives. Anchor on whether price, convenience, or trust drove the final decision, and probe any gap between their stated top decision factor and what actually happened. If they said they didn't shop at all in the last 30 days, explore what would need to change for them to make a purchase.
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
What is your gender?
- Woman
- Man
- Non-binary
- Prefer to self-describe
- Prefer not to say
Q12
객관식
What is your total annual household income?
- Under $25,000
- $25,000-$49,999
- $50,000-$74,999
- $75,000-$99,999
- $100,000-$149,999
- $150,000 or more
- Prefer not to say
Q13
단문형
What region, state, or city do you live in? (Prefer not to say is fine.)
Q14
메시지
That's everything — thank you! Your responses will be combined with others to help us understand shopping habits across different types of customers.
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 stated preferences with an AI follow-up interview that reconstructs a respondent's most recent real purchase decision, capturing what they bought, where, and why
- Combines quantitative channel, spend allocation (constant sum), and decision-driver ranking questions with a matrix on shopping-location importance for a full behavioral picture
- Includes core demographic questions (age, gender, income, region) alongside shopping behavior, so retail and market-sizing teams get one unified respondent profile
- Every AI probe runs on transparent, reviewable prompts, and responses are automatically quality-scored and compiled into an auto-generated report
QuestionPro
General shopping demographics survey questions + sample questionnaire templateA fielding-ready questionnaire covering shopping habits and demographics, similar in scope to ours. It relies entirely on static, pre-written questions with no adaptive follow-up to probe individual answers further.
잘하는 점
- Purpose-built template combining shopping behavior with demographic questions
- Established survey platform with broad question-type support
아쉬운 점
- No adaptive AI follow-up interview to reconstruct actual purchase decisions
- No voice AI interview option or guided screen-share tasks
- No published prompt-level methodology or automated per-response quality scoring
Jotform
Shopping Behavior Survey Form TemplateA customizable form-builder template focused on shopping behavior, useful as a quick-start form rather than a research-grade survey instrument. It's a static form design tool, so depth of insight depends entirely on the questions the user manually adds.
잘하는 점
- Highly customizable drag-and-drop form builder
- Easy to deploy quickly as a standalone form
아쉬운 점
- No AI-driven follow-up questioning or purchase reconstruction
- No built-in quality scoring or auto-generated analysis report
- No voice interview or guided task capability
SurveyMonkey
U.S. Demographics Survey TemplateA general-purpose demographics template, not a shopping-behavior instrument, so it only overlaps with the demographic portion of our template. Teams would need to build the entire shopping-behavior section (channels, spend, drivers) themselves.
잘하는 점
- Well-established, professionally worded demographic question bank
- Backed by a widely used survey platform with broad distribution tools
아쉬운 점
- No shopping-behavior content at all (channel mix, spend allocation, decision drivers)
- No adaptive AI interviewing or purchase-reconstruction capability
- No automated quality scoring or transparent AI prompt methodology
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