모든 템플릿

Mall Shopping Behavior & Purchase Habits Survey

Explores how often people visit the mall, what they buy, how they allocate spend across categories, and what drives their choice of retail destination. Built for mall operators, retail marketers, and tenant-mix planners; the AI follow-up interview reconstructs the real story behind a shopper's most recent purchase decision, including near-misses and price hesitation that closed questions miss.

샘플 질문

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

질문 13개 · 약 7분
Q01
메시지

Thanks for taking a few minutes to share how you shop at the mall! This helps retailers and mall operators understand real shopping habits. Your responses are completely confidential and anonymized. It should take about 5 minutes, and there are no wrong answers — just tell us what actually happens.

Q02
객관식필수

In the last 3 months, how often have you visited a physical mall?

  • Almost daily
  • A few times a week
  • About once a week
  • A few times a month
  • Once a month or less
  • This was my first visit in months
Q03
객관식필수

Thinking about your most recent mall visit, what best describes your main purpose?

  • Buying something specific I needed
  • Browsing without a specific purchase in mind
  • Meeting friends or family
  • Eating at a restaurant or food court
  • Watching a movie or other entertainment activity
  • Returning or exchanging an item
Q04
점수 배분필수

Thinking about a typical month, how do you split your mall spending across these categories? Please allocate 100 points based on where your money actually goes.

  • Clothing & apparel
  • Footwear
  • Electronics & gadgets
  • Food & dining
  • Personal care & beauty
  • Entertainment (movies, arcade, etc.)
  • Other
100점 배분
Q05
최선·최악 선택형(MaxDiff)필수

When deciding which mall to shop at, some things matter more than others. For each set, tell us which factor matters most and which matters least to you.

  • Location convenience
  • Parking availability
  • Variety of stores
  • Prices and deals
  • Food and dining options
  • Store atmosphere and ambiance
  • Special events or promotions
  • Overall safety and cleanliness
세트별 최선·최악 선택최선:Matters most최악:Matters least
Q06
매트릭스필수

How much do you agree with each statement about the mall you visit most often?

5개 행 × 5개 열
  • It has a good variety of stores
  • Prices are reasonable for what I get
  • It is clean and well-maintained
  • Store staff are helpful when I need them
  • It's a pleasant place to spend time, not just shop
: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q07
의견 척도필수

How likely are you to recommend this mall to a friend or family member looking for a place to shop?

척도: 010
최소:Not at all likely최대:Extremely likely
Q08
AI 인터뷰

Reconstruct the respondent's most recent mall purchase decision: what they bought or almost bought, what nearly stopped them (price, not finding the right size or item, long lines, etc.), and what would have made them spend more. If they said their main purpose was 'just browsing,' probe what would have converted that visit into a purchase. Anchor follow-ups on their recommendation-likelihood answer if it was notably low or high.

Q09
객관식

What payment method do you use most often for mall purchases?

  • Credit or debit card
  • Mobile payment (Apple Pay, Google Pay, etc.)
  • Cash
  • Buy now, pay later service
  • Store credit card or loyalty account
Q10
객관식

Which age range do you fall into?

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

How do you describe your gender?

  • Woman
  • Man
  • Non-binary
  • Prefer to self-describe
  • Prefer not to say
Q12
객관식

What is your approximate 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
메시지

All done — thank you! Your answers, along with everyone else's, will be combined into a report on mall shopping habits used to guide store mix, pricing, and mall experience decisions. No individual responses are shared.

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 that reconstructs the shopper's actual most recent purchase decision, surfacing near-misses and price hesitation that closed questions can't capture
  • Uses a constant-sum question to get precise spend-allocation percentages across mall categories rather than vague ranking
  • Combines a MaxDiff exercise and matrix agreement scale to rigorously prioritize what drives mall choice and satisfaction with the primary mall
  • Pairs quantitative screening (visit frequency, purpose, NPS-style recommend likelihood, demographics) with automated quality scoring and an auto-generated report for mall operators and tenant-mix planners

QuestionPro

Mall purchase habits survey questions + sample questionnaire template

This is a direct topical match: a ready-to-use questionnaire covering mall visit frequency, purpose, and purchase habits. It's a static template of pre-written closed questions rather than an adaptive interview, so it works well as a quick-start question bank but relies on the researcher to interpret open-ended nuance manually.

잘하는 점

  • Purpose-built sample questionnaire specifically for mall/retail purchase habits, so questions are pre-vetted for this exact use case
  • Likely offers customizable, fielding-ready questions within QuestionPro's established survey platform
  • Backed by a large survey template library and platform with broad distribution options

아쉬운 점

  • No adaptive AI follow-up interview to probe why a shopper chose one purchase over another or reconstruct near-miss decisions
  • No indication of automated per-response quality scoring
  • No transparent prompt/methodology disclosure since it's a fixed question list, not an AI-driven interview

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