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Online Fashion Community Engagement & Belonging Survey

Measures how members experience and value your online fashion community — participation habits, sense of belonging, content quality, and moderation trust — with an AI follow-up that digs into the specific moment a member felt most (or least) connected. Built for community managers and nonprofit-style membership programs running fashion forums, swap groups, or style-sharing platforms.

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Sample questions

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

13 questions · ~7 min
Q01
Message

Hi! Thanks for being part of our fashion community. We'd love to understand how it's working for you and where we can improve. This takes about 5-6 minutes and there are no wrong answers.

Q02
Multiple ChoiceRequired

In the last 30 days, how often have you engaged with the community (posting, commenting, or reacting)?

  • Daily
  • A few times a week
  • About once a week
  • A few times this month
  • Not at all
Q03
Multiple Choice

Which of these have you done in the community in the last 30 days?

  • Shared an outfit or look
  • Asked for style advice
  • Gave feedback or advice to someone else
  • Joined a swap, sale, or giveaway
  • Attended a live event or discussion
  • Just browsed without posting
Q04
Opinion ScaleRequired

How much do you feel a sense of belonging in this community?

Scale: 1 – 7
Min:Not at allMax:Very much
Q05
MatrixRequired

How would you rate the community on each of the following?

5 rows × 5 columns
  • Quality of style advice and feedback
  • Friendliness and respectfulness of members
  • Variety of content and voices
  • How well the community is moderated
  • How easy it is to find what you're looking for
Columns: Poor · Fair · Good · Very good · Excellent
Q06
Best–Worst Trade-off (MaxDiff)Required

Which of these matter most to you when deciding to stay active in an online fashion community?

  • Feeling accepted regardless of body type or budget
  • Getting genuinely useful style feedback
  • Discovering new brands or trends early
  • Access to swaps, sales, or giveaways
  • Seeing people who share my style or background
  • Fast, fair moderation of conflicts
  • Events or live discussions
  • Recognition for my contributions (badges, features, etc.)
Pick best & worst per setBest:Matters mostWorst:Matters least
Q07
Rating Scale

How would you rate the quality of moderation when conflicts or inappropriate content come up?

Range: 1 – 5
Min:Very poorMax:Excellent
Q08
Opinion ScaleRequired

How likely are you to recommend this community to another fashion enthusiast?

Scale: 0 – 10
Min:Not at all likelyMax:Extremely likely
Q09
AI Interview

Ask the respondent to describe one specific recent moment when they felt especially connected to (or disconnected from) this community — what happened, who was involved, and what made it feel that way. Anchor on their belonging rating: if it was low, probe what specifically eroded trust or made them feel like an outsider; if high, probe what the community or its members did that created that feeling, so it can be repeated. If they mention a moderation or conflict experience, get concrete details on how it was handled.

Q10
Long Text

Is there anything the community is missing that would make you want to participate more?

Q11
Multiple Choice

What is your age range?

  • Under 18
  • 18-24
  • 25-34
  • 35-44
  • 45-54
  • 55+
  • Prefer not to say
Q12
Multiple Choice

How would you describe your gender?

  • Woman
  • Man
  • Non-binary
  • Prefer to self-describe
  • Prefer not to say
Q13
Message

Thank you so much for sharing this with us! Your answers help our team shape a more welcoming, useful community for everyone — we read every response.

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 asks respondents to describe one specific recent moment they felt especially connected (or disconnected), surfacing concrete stories static surveys can't reach
  • Combines quantitative measures (belonging opinion scale, matrix ratings, MaxDiff on retention drivers, moderation rating, recommendation likelihood) with open-ended and adaptive probing in a single flow
  • Directly measures moderation trust and conflict handling, a sensitive area where AI follow-up can dig deeper without a human interviewer present
  • Built specifically for community managers and nonprofit-style membership programs (fashion forums, swap groups, style-sharing platforms), with a friendly chat-style opening and closing message

SurveyMonkey

Online Fashion Community Survey Template

A ready-to-field template purpose-built for fashion community feedback, covering similar ground like participation and satisfaction. It's a static question set with no adaptive follow-up, so all respondents get identical questions regardless of their answers. Reporting relies on SurveyMonkey's standard dashboards.

What it does well

  • Directly targeted at online fashion community audiences
  • Fielding-ready template, not just a guide
  • Backed by SurveyMonkey's established survey infrastructure and distribution tools

Where it falls short

  • No adaptive AI follow-up questions to probe specific moments or experiences
  • No voice AI interview option
  • No published per-response quality scoring or transparent prompt methodology

SurveySparrow

Online Fashion Community Survey Template | Style Insights

A conversational-style template aimed at the same fashion community use case, likely using SurveySparrow's chat-like UI for a friendlier respondent experience. It appears to be a fixed template rather than one with true adaptive interviewing logic. No indication of guided screen-share tasks or AI-driven qualitative probing.

What it does well

  • Fashion-community-specific template, ready to deploy
  • Conversational survey format that may improve completion rates
  • Part of a broader SurveySparrow platform with automation features

Where it falls short

  • No adaptive AI interview that digs into a specific connection moment
  • No guided task or screen-share capability
  • No transparent, published AI prompt methodology

Jotform

Community Engagement Survey Form Template

A general community engagement form, not fashion-specific, so it covers broader engagement themes rather than fashion-community nuances like style-sharing or swap groups. It's a static form-builder template with customizable fields but no interview-style logic. Useful as a generic starting point rather than a purpose-built fit.

What it does well

  • Flexible, easily customizable form builder
  • Broad applicability across many community types
  • Simple to deploy quickly via Jotform's form platform

Where it falls short

  • Not fashion-community specific, requiring significant customization
  • No adaptive AI follow-up or voice AI interview options
  • No automated quality scoring or AI-generated qualitative reporting

Ready to launch?

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

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