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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.

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

Q02
Multiple ChoiceRequired

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
NumberRequired

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

Q04
Best–Worst Trade-off (MaxDiff)Required

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
Pick best & worst per setBest:Keep no matter whatWorst:Cut first
Q05
Point AllocationRequired

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
Allocate 100 points
Q06
MatrixRequired

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

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

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

Scale: 0 – 10
Min:Definitely won't cancel anyMax:Definitely will cancel at least one
Q08
Multiple Choice

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
RankingRequired

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
Drag to rank
Q10
AI Interview

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
Multiple Choice

What's your age range?

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

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
Message

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.

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.

Why this template

What this template is built to do — we found no directly comparable template from other survey tools to review.

What sets it apart

  • 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

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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