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Personal Style and Fashion Shopping Attitudes Survey

Explores how people relate to clothing, what actually drives a purchase decision, and where sustainability and price trade off in the real world. An AI follow-up interview digs into the story behind a recent purchase to separate stated values from actual behavior — built for fashion brands, retailers, and trend researchers.

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샘플 질문

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

질문 15개 · 약 8분
Q01
메시지

Hi! We're exploring how people think about clothing, style, and shopping habits. Your responses are completely confidential and anonymized. There are no right answers — just be honest about what's true for you. This will take about 6 minutes.

Q02
객관식필수

In the last 3 months, how often have you bought a new clothing item (including online)?

  • Not at all
  • Once
  • 2-3 times
  • 4-6 times
  • More than 6 times
Q03
매트릭스필수

When deciding whether to buy a clothing item, how important is each of the following?

7개 행 × 5개 열
  • Price
  • Quality/durability
  • Fit
  • Brand name
  • Current trends
  • 외 2개
열: Not important · Slightly important · Moderately important · Very important · Essential
Q04
최선·최악 선택형(MaxDiff)필수

Thinking about your last few clothing purchases, which of these matter most and least in your final decision to buy?

  • Low price
  • High quality/durability
  • Good fit
  • Trusted brand
  • On-trend style
  • Sustainable or ethical production
  • Comfort
  • Uniqueness/standing out
세트별 최선·최악 선택최선:Matters most최악:Matters least
Q05
순위 매기기필수

Rank these shopping channels from the one you use most to the one you use least for buying clothes.

  1. Brand's own website/app
  2. Online marketplace (e.g., Amazon)
  3. Physical store
  4. Secondhand or resale platform
  5. Social media shop (e.g., Instagram, TikTok)
드래그하여 순위 지정
Q06
점수 배분필수

Imagine you have $100 to spend on clothing this month. How would you split it across these categories?

  • Everyday basics
  • Workwear
  • Special occasion wear
  • Athletic/loungewear
  • Accessories/shoes
  • Statement/trend pieces
100점 배분
Q07
평점 척도필수

How satisfied are you with your current wardrobe overall?

범위: 1 – 5
최소:Very unsatisfied최대:Very satisfied
Q08
객관식

In the last 12 months, which of these have you done? Select all that apply.

  • Bought secondhand or vintage clothing
  • Sold or donated clothes I no longer wear
  • Researched a brand's labor or environmental practices before buying
  • Repaired or altered a garment instead of replacing it
  • Rented an outfit instead of buying
Q09
의견 척도필수

How willing are you to pay more for a clothing item if it's made sustainably or ethically?

척도: 1 – 5
최소:Not willing at all최대:Very willing
Q10
AI 인터뷰

Reconstruct the story of the respondent's most recent clothing purchase: what triggered it, which factor from their top priorities actually tipped the decision, and whether price or sustainability ever came up in the moment. If they rated high willingness to pay more for sustainability but their behaviors suggest otherwise, gently probe that gap and ask what would need to change for them to act on it.

Q11
메시지

Just a few quick details about you — all optional.

Q12
드롭다운

What is your age range?

  • Under 18
  • 18-24
  • 25-34
  • 35-44
  • 45-54
  • 55-64
  • 65+
  • Prefer not to say
Q13
객관식

How do you describe your gender?

  • Woman
  • Man
  • Non-binary
  • Prefer not to say
Q14
드롭다운

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
Q15
메시지

Thank you for sharing your style and shopping habits! Your answers will help shape more relevant products and messaging for shoppers like you.

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 story behind a respondent's most recent clothing purchase, separating stated values from actual behavior rather than relying only on fixed-choice answers
  • Combines a matrix of purchase-decision drivers, a max-diff trade-off exercise, and a constant-sum budget allocation to triangulate what people actually prioritize versus what they claim to prioritize
  • Directly measures the sustainability-price trade-off with a dedicated opinion-scale question on willingness to pay more, paired with follow-up probing rather than a single static rating
  • Automated per-response quality scoring and an auto-generated report mean fashion brands and retailers get analysis-ready output without manually coding open-ended responses

QuestionPro

21+ Fashion Questions to Ask in a Survey + Sample Questionnaire Template

This is primarily an educational guide listing sample fashion survey questions rather than a ready-to-field interactive template. It's useful as a question bank for building a survey manually, but doesn't ship as a deployable respondent experience on its own. Structure and depth depend on how a user assembles the listed questions.

잘하는 점

  • Offers a broad list of fashion-related sample questions covering multiple attitude and behavior angles
  • Backed by QuestionPro's established survey platform for building and distributing the assembled questionnaire
  • Content framed for general market research use, not tied to one narrow use case

아쉬운 점

  • Presented as a static question list/guide rather than a pre-built, fielding-ready template with logic already configured
  • No adaptive AI follow-up interview to probe the story behind a specific purchase decision
  • No published methodology or prompt transparency for how questions were selected or scored

SurveyMonkey

Online Shopping Survey: Questions & Template

A ready-to-use template focused on online shopping attitudes broadly, with some overlap in purchase-driver and satisfaction questions relevant to clothing shopping. It's a fielding-ready static questionnaire rather than fashion-specific or interview-based. Good for quick deployment but shallower on category-specific nuance like sustainability-price trade-offs in apparel.

잘하는 점

  • Fielding-ready template that can be deployed quickly on SurveyMonkey's platform
  • Covers general online shopping attitudes and satisfaction, applicable across product categories
  • Benefits from SurveyMonkey's established distribution and reporting tools

아쉬운 점

  • Fixed question set with no adaptive AI follow-up to dig into the story behind a specific recent purchase
  • Not fashion-specific, so lacks apparel trade-off tools like max-diff or constant-sum budget allocation for clothing categories
  • No transparent prompt methodology or automated per-response quality scoring

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