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.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
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
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
How much do you feel a sense of belonging in this community?
How would you rate the community on each of the following?
- 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
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.)
How would you rate the quality of moderation when conflicts or inappropriate content come up?
How likely are you to recommend this community to another fashion enthusiast?
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.
Is there anything the community is missing that would make you want to participate more?
What is your age range?
- Under 18
- 18-24
- 25-34
- 35-44
- 45-54
- 55+
- Prefer not to say
How would you describe your gender?
- Woman
- Man
- Non-binary
- Prefer to self-describe
- Prefer not to say
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.
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 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 TemplateA 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.
잘하는 점
- Directly targeted at online fashion community audiences
- Fielding-ready template, not just a guide
- Backed by SurveyMonkey's established survey infrastructure and distribution tools
아쉬운 점
- 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 InsightsA 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.
잘하는 점
- Fashion-community-specific template, ready to deploy
- Conversational survey format that may improve completion rates
- Part of a broader SurveySparrow platform with automation features
아쉬운 점
- 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 TemplateA 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.
잘하는 점
- Flexible, easily customizable form builder
- Broad applicability across many community types
- Simple to deploy quickly via Jotform's form platform
아쉬운 점
- 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
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