QuestionPunkQuestionPunk
Start free
All templates

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.

Use this templateBrowse more templates

Sample questions

A preview of what’s in the template. Every question is editable before you launch.

15 questions · ~8 min
Q01
Message

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

Q02
Multiple ChoiceRequired

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
MatrixRequired

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

7 rows × 5 columns
  • Price
  • Quality/durability
  • Fit
  • Brand name
  • Current trends
  • +2 more
Columns: Not important · Slightly important · Moderately important · Very important · Essential
Q04
Best–Worst Trade-off (MaxDiff)Required

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
Pick best & worst per setBest:Matters mostWorst:Matters least
Q05
RankingRequired

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)
Drag to rank
Q06
Point AllocationRequired

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
Allocate 100 points
Q07
Rating ScaleRequired

How satisfied are you with your current wardrobe overall?

Range: 1 – 5
Min:Very unsatisfiedMax:Very satisfied
Q08
Multiple Choice

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
Opinion ScaleRequired

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

Scale: 1 – 5
Min:Not willing at allMax:Very willing
Q10
AI Interview

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
Message

Just a few quick details about you — all optional.

Q12
Dropdown

What is your age range?

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

How do you describe your gender?

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

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
Message

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

What’s included

  • AI follow-ups

    Adaptive probes on open-ended answers that pull out detail a static form would miss.

  • Attention checks

    Built-in safeguards against rushed answers and low-quality respondents.

  • AI-drafted copy

    Wording, ordering, and branching written by the AI — tuned to your research goal.

  • Auto report

    Themes, quotes, and a plain-English summary write themselves once responses come in.

How it compares

We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.

Why this template

  • 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.

What it does well

  • 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

Where it falls short

  • 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.

What it does well

  • 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

Where it falls short

  • 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

Ready to launch?

Open this template in the editor. Every part is yours to change before the first respondent sees it.

Use this templateStart free