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Music Streaming Service Experience & Loyalty Survey

Measures how satisfied listeners are with their primary streaming service, which features actually drive loyalty, price sensitivity for premium tiers, and how people discover new music — with an AI follow-up that digs into the real reasons behind switching or staying instead of surface-level satisfaction scores.

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샘플 질문

템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.

질문 13개 · 약 7분
Q01
메시지

Thanks for sharing your music streaming habits with us! Your responses are completely confidential and anonymized. This will take about 5 minutes and helps shape what gets built next.

Q02
객관식필수

Which streaming service do you use most often?

  • Spotify
  • Apple Music
  • YouTube Music
  • Amazon Music
  • Tidal
  • Pandora
Q03
의견 척도필수

Overall, how satisfied are you with this service?

척도: 1 – 7
최소:Very dissatisfied최대:Very satisfied
Q04
매트릭스필수

How would you rate this service on each of the following?

5개 행 × 5개 열
  • Sound quality
  • Personalized recommendations
  • Ease of finding specific songs or artists
  • Value for the price you pay
  • Amount of advertising (if on a free or ad-supported plan)
열: Poor · Fair · Good · Very good · Excellent
Q05
최선·최악 선택형(MaxDiff)필수

When you think about what would make you more loyal to a streaming service, which of these matters most and which matters least?

  • Sound quality
  • Personalized recommendations
  • Price and overall value
  • Offline downloads
  • Ad-free listening
  • Exclusive content or early releases
  • Cross-device syncing
  • Social sharing features
세트별 최선·최악 선택최선:Matters most to me최악:Matters least to me
Q06
점수 배분필수

Think about a typical week of listening. Split 100 points across these activities based on how much time you actually spend on each.

  • Replaying music I already know I like
  • Discovering new music through recommendations
  • Listening to curated playlists
  • Podcasts or spoken-word content
  • Radio or live stations
100점 배분
Q07
가격 민감도(Van Westendorp)필수

Thinking about an ad-free premium subscription (not necessarily the one you use today), please answer honestly based on what you'd actually pay:

  • At what monthly price would this subscription be so cheap you'd question its quality?
  • At what monthly price would this subscription be a bargain — great value for the money?
  • At what monthly price would this subscription start to feel expensive, though you'd still consider it?
  • At what monthly price would this subscription be so expensive you would not consider it at all?
Q08
객관식

In the last 30 days, how have you discovered new music?

  • Algorithm-generated recommendations or radio
  • Playlists curated by the platform
  • Friends, family, or social media
  • Search or browse independently
  • Traditional radio or live shows
Q09
의견 척도필수

How likely are you to recommend this streaming service to a friend or colleague?

척도: 0 – 10
최소:Not at all likely최대:Extremely likely
Q10
AI 인터뷰

Probe the real story behind the respondent's satisfaction and recommendation scores: ask about a specific recent moment where the service either impressed them or let them down, and what it would take to change their mind. If they scored satisfaction or recommendation likelihood low, dig into whether they've already tried or considered switching services and what's stopped them so far. If they scored high, ask what would make them consider leaving anyway.

Q11
객관식

What is your age range?

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

How do you describe your gender?

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

That's everything — thank you! Your answers will help shape which features and pricing options get prioritized next.

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

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이 템플릿을 선택하는 이유

  • Goes beyond a satisfaction score by including an AI follow-up interview that probes the real reasons behind switching or staying loyal, not just a number
  • Uses a Van Westendorp price sensitivity module to size willingness to pay for an ad-free premium tier, not just a single price question
  • Includes a MaxDiff exercise to rank which features actually drive loyalty and a constant-sum task to see how listening time is really split across activities
  • Captures discovery channels (last 30 days) alongside satisfaction and recommendation scores, giving a fuller picture from behavior to underlying motivation

SurveyMonkey

Online Music Streaming Survey Template

A ready-to-field template covering core music streaming satisfaction and usage questions, backed by SurveyMonkey's mature survey infrastructure and distribution tools. It's a static question set aimed at broad usability rather than depth on loyalty drivers or pricing psychology. Good for quick deployment, but any 'why' behind answers has to be inferred rather than asked directly.

잘하는 점

  • Well-established survey platform with broad distribution and panel options
  • Simple, quick-to-deploy template format
  • Familiar UI likely to yield high completion rates

아쉬운 점

  • Static question format with no adaptive AI follow-up to probe reasons behind scores
  • No indication of built-in pricing-sensitivity methodology (e.g., Van Westendorp) or MaxDiff-style loyalty-driver ranking
  • No automated per-response quality scoring or transparent prompt methodology published

SurveySparrow

Online Music Streaming Survey Template

A conversational-style survey template covering listener satisfaction and usage patterns, fitting SurveySparrow's chat-like format branding. It's positioned as a listener-insights template but appears to be a fixed question flow rather than one that adapts based on individual answers. Useful as a starting point, though it likely still relies on scaled ratings rather than open-ended probing for switching behavior.

잘하는 점

  • Conversational UI format that can feel more engaging than a traditional grid survey
  • Positioned specifically around listener insights for streaming
  • Likely supports quick mobile-friendly completion

아쉬운 점

  • No adaptive AI interview follow-up to dig into reasons behind loyalty or churn
  • No visible price-sensitivity (Van Westendorp) or trade-off (MaxDiff) methodology for premium tier decisions
  • No transparent prompt/methodology disclosure or automated response quality scoring

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