Subscription Box Curation & Retention Survey
Diagnoses what keeps subscribers renewing a recurring box — unboxing experience, product-value fit, and pricing sensitivity — using a best-worst trade-off to prioritize curation levers and an AI follow-up that surfaces the real reason behind a subscriber's renewal or cancel intent. Built for subscription box brands optimizing retention.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
How long have you been subscribed to this box?
- Less than 1 month
- 1-3 months
- 4-6 months
- 7-12 months
- More than 1 year
Overall, how satisfied were you with your most recent box?
Rate your most recent box on each of the following:
- Product quality
- Value for the price
- Unboxing/packaging experience
- Personalization to your tastes
- Delivery reliability (on-time, undamaged)
Across pairs of box qualities, which matters most and least to whether you keep subscribing?
- Product quality
- Price/value
- Variety of items each box
- Personalization to my preferences
- Surprise/discovery factor
- Sustainable/eco-friendly packaging
- Ability to customize or swap items
If you were designing your ideal future box, how would you split 100 points across these to reflect what you'd want more of?
- Full-size products
- Trial/sample sizes
- Exclusive or limited-edition items
- Lifestyle extras (stickers, cards, etc.)
- Higher-value/premium items
Thinking about a monthly subscription box like this one, please answer the following about price:
- At what monthly price would this subscription box be so inexpensive that you'd question its quality?
- At what monthly price would this subscription box be a bargain — a great buy for the money?
- At what monthly price would this subscription box start to seem expensive, though you'd still consider it?
- At what monthly price would this subscription box be so expensive that you would not consider buying it?
How likely are you to continue this subscription for the next 3 months?
Anchor on the respondent's stated likelihood to continue and their ratings of quality, value, and personalization. If they lean toward canceling, probe the specific trigger (a bad box, price hike, lack of relevance, competitor offer) and whether anything could win them back. If they lean toward continuing, probe what specifically earns their loyalty and whether any single aspect of the last box still disappointed them despite the overall positive intent.
What was the main reason you originally signed up for this box?
- Discover new products
- Convenience/save time shopping
- Cost savings vs. buying items individually
- Fun/surprise factor
- Gift for myself or someone else
What is your age range?
- Under 18
- 18-24
- 25-34
- 35-44
- 45-54
- 55-64
- 65 or older
- Prefer not to say
What is your 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
That's everything — thank you! Your answers feed directly into how we plan and price upcoming boxes.
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.
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차별화 포인트
- Includes a best-worst (max-diff) trade-off exercise that forces subscribers to prioritize which curation levers (unboxing, product-value fit, pricing) actually drive retention, rather than rating everything highly
- Pairs a Van Westendorp price sensitivity block with a constant-sum 'ideal box' allocation, giving pricing and curation-mix data in the same flow
- Features an adaptive AI follow-up interview that anchors on each respondent's own stated renewal likelihood and satisfaction ratings to surface the real reason behind their renew/cancel intent, something static form builders cannot do
- Closes with an automated per-response quality score and auto-generated report, so subscription brands get a synthesized retention diagnosis rather than a raw response export
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