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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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Sample questions

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

13 questions · ~7 min
Q01
Message

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

Q02
Multiple ChoiceRequired

Which streaming service do you use most often?

  • Spotify
  • Apple Music
  • YouTube Music
  • Amazon Music
  • Tidal
  • Pandora
Q03
Opinion ScaleRequired

Overall, how satisfied are you with this service?

Scale: 1 – 7
Min:Very dissatisfiedMax:Very satisfied
Q04
MatrixRequired

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

5 rows × 5 columns
  • 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)
Columns: Poor · Fair · Good · Very good · Excellent
Q05
Best–Worst Trade-off (MaxDiff)Required

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
Pick best & worst per setBest:Matters most to meWorst:Matters least to me
Q06
Point AllocationRequired

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
Allocate 100 points
Q07
Price Sensitivity (Van Westendorp)Required

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
Multiple Choice

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
Opinion ScaleRequired

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

Scale: 0 – 10
Min:Not at all likelyMax:Extremely likely
Q10
AI Interview

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
Multiple Choice

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
Multiple Choice

How do you describe your gender?

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

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

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

  • 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.

What it does well

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

Where it falls short

  • 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.

What it does well

  • 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

Where it falls short

  • 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

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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