모든 템플릿

Subscription Fatigue Audit: What Survives the Cuts

Maps how many paid subscriptions people juggle, which categories they'd protect versus cancel first, and what actually triggers a cancellation. Built for subscription businesses and researchers tracking churn risk, with an AI follow-up that reconstructs a real recent cancel-or-keep decision instead of a hypothetical one.

샘플 질문

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질문 13개 · 약 7분
Q01
메시지

Thanks for taking a few minutes to think through your subscriptions — streaming, software, boxes, apps, all of it. Your responses are completely confidential and anonymized. There are no wrong answers here, just your honest habits. About 5-6 minutes.

Q02
객관식필수

Roughly how many active paid subscriptions do you currently have (streaming, software, meal kits, apps, memberships, etc.)?

  • 1-2
  • 3-5
  • 6-9
  • 10 or more
  • Not sure
Q03
숫자필수

About how much do you spend on all subscriptions combined per month, in dollars? (Your best estimate is fine.)

Q04
최선·최악 선택형(MaxDiff)필수

For each pair shown, pick the subscription category you'd protect the most and the one you'd cut the soonest if you had to trim your budget.

  • Video streaming (Netflix, Hulu, etc.)
  • Music streaming (Spotify, Apple Music, etc.)
  • News & media subscriptions
  • Cloud storage
  • Fitness & wellness apps
  • Meal kits or subscription boxes
  • Productivity/software tools
  • Gaming subscriptions
세트별 최선·최악 선택최선:Keep no matter what최악:Cut first
Q05
점수 배분필수

If you had $100 to redistribute across these categories based on how much value they give you, how would you split it?

  • Video streaming
  • Music streaming
  • Cloud storage
  • News/media
  • Fitness or wellness apps
  • Software/productivity tools
100점 배분
Q06
매트릭스필수

For each type of subscription, which best describes where it stands for you right now?

5개 행 × 4개 열
  • Video streaming service
  • Music streaming service
  • Cloud storage
  • News or media subscription
  • Fitness or wellness app subscription
: Essential - keeping no matter what · Useful - keeping unless price rises · Marginal - already considering cancelling · Don't currently have one
Q07
의견 척도필수

How likely are you to cancel at least one subscription in the next 3 months?

척도: 010
최소:Definitely won't cancel any최대:Definitely will cancel at least one
Q08
객관식

In the last 30 days, which of these have made you seriously reconsider a subscription? Select all that apply.

  • A price increase
  • Realizing I barely use it
  • Found a free or cheaper alternative
  • Overall budget tightened
  • Bad experience with customer support
  • Forgot I had it until reviewing my bank statement
Q09
순위 매기기필수

Rank these factors by how much they matter when you decide whether a subscription is worth keeping.

  1. Price relative to how much I use it
  2. How often I actually use it
  3. Quality of content or features
  4. Whether I can share it with family/household
  5. Habit or forgetting to cancel
  6. Whether it's bundled with something else
드래그하여 순위 지정
Q10
AI 인터뷰

Reconstruct the respondent's most recent real decision about a subscription: what almost made them cancel it, what made them stay (or actually cancel), and what a competitor or the same provider could have done to change that outcome. If they haven't cancelled anything recently, probe which single subscription feels most at risk right now and why it hasn't been cut yet.

Q11
객관식

What's your age range?

  • 18-24
  • 25-34
  • 35-44
  • 45-54
  • 55-64
  • 65+
  • Prefer not to say
Q12
객관식

What's your approximate annual household income?

  • Under $30,000
  • $30,000-$59,999
  • $60,000-$99,999
  • $100,000-$149,999
  • $150,000 or more
  • Prefer not to say
Q13
메시지

That's everything — thank you! Your answers feed into a study on which subscriptions earn long-term loyalty and which get cut first when budgets tighten.

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

  • Uses a max-diff exercise and a $100 constant-sum allocation to reveal which subscription categories people actually value versus tolerate, not just self-reported ratings
  • Includes an AI follow-up interview that reconstructs a respondent's real, recent cancel-or-keep decision instead of asking a generic hypothetical question
  • Combines quantitative sizing (subscription count, monthly spend, a matrix of category status, an opinion-scale cancellation likelihood, and a ranked list of cancellation triggers) with qualitative depth in one flow
  • Automated per-response quality scoring and an auto-generated report make the churn-risk data usable for subscription businesses and researchers without manual coding

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