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Reader Satisfaction and Content Value Survey

Measures how satisfied readers are with your publication's accuracy, depth, timeliness, and relevance, and which content types they value most. An AI follow-up interview digs into the reasoning behind each reader's satisfaction rating so editorial and product teams know what to fix or double down on.

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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 reading (Replace with your publication's name)! We'd like to hear about your experience as a reader — what's working, what's not, and where we should improve. About 5 minutes, and we'll ask a couple of follow-up questions to understand your rating better.

Q02
Opinion ScaleRequired

Overall, how satisfied are you with (Replace with your publication's name)?

Scale: 1 – 5
Min:Very dissatisfiedMax:Very satisfied
Q03
Multiple ChoiceRequired

In the last 30 days, how often have you read content from us?

  • Daily
  • A few times a week
  • Weekly
  • A few times a month
  • Less often
  • This is my first time
Q04
MatrixRequired

Please rate us on each of the following:

6 rows × 5 columns
  • Accuracy of reporting
  • Depth of analysis
  • Timeliness of coverage
  • Writing quality and clarity
  • Relevance to your interests
  • +1 more
Columns: Poor · Fair · Good · Very good · Excellent
Q05
Best–Worst Trade-off (MaxDiff)

Which of these do you value most, and which least, from us?

  • Breaking news
  • In-depth features
  • Opinion and commentary
  • Newsletters
  • Podcasts or audio
  • Video content
  • Data and graphics
  • Reader comments and community
Pick best & worst per setBest:Most valuableWorst:Least valuable
Q06
Opinion ScaleRequired

How likely are you to recommend us to a friend or colleague?

Scale: 0 – 10
Min:Not at all likelyMax:Extremely likely
Q07
Multiple Choice

How do you most often access our content?

  • Website
  • Mobile app
  • Email newsletter
  • Social media
  • Print
Q08
Multiple Choice

Do you currently pay for a subscription or membership with us?

  • Yes, full subscriber
  • Yes, trial or introductory offer
  • No, I read for free
  • No, but I'm considering it
  • Prefer not to say
Q09
AI Interview

Probe the reasoning behind the respondent's overall satisfaction rating, anchoring on whichever of the six content dimensions (accuracy, depth, timeliness, writing, relevance, value) they rated lowest. Ask for a specific recent article or issue that shaped their view. If they gave a low recommendation likelihood but high satisfaction (or vice versa), surface what's driving the gap, and if they picked a 'least valuable' content type in the trade-off question, ask what would need to change for them to value it more.

Q10
Long Text

Is there anything specific we could do to improve your experience as a reader?

Q11
Multiple Choice

Which age range do you fall into?

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

What city or region do you live in? (Optional — helps us understand our audience geography.)

Q13
Message

Thank you for sharing your feedback! Your answers will be pooled with other readers' responses to guide our editorial and product priorities — no individual response will be shared or attributed to you.

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 rating by pairing an opinion scale on overall satisfaction with an AI follow-up interview that probes the reasoning behind each reader's score, so editorial teams learn the 'why,' not just the number.
  • Includes a matrix rating across accuracy, depth, timeliness, and relevance plus a MaxDiff exercise to rank which content types readers value most and least, giving prioritized, actionable signal.
  • Captures reading frequency, access channel, and subscription/membership status alongside satisfaction, so results can be segmented by loyal vs. casual readers and paying vs. non-paying audiences.
  • Closes with an open-ended improvement question and light demographic/location context, giving product and editorial teams both qualitative detail and audience context in one flow.

SurveySparrow

Reader Satisfaction Survey Template

A ready-to-use reader satisfaction template built on SurveySparrow's conversational form format, aimed at publications gauging reader sentiment. It covers standard satisfaction-survey ground but relies on static, pre-written questions rather than adaptive follow-up. Good for quick deployment, less suited to uncovering the reasoning behind a given score.

What it does well

  • Purpose-built reader satisfaction template rather than a generic form
  • Conversational, chat-like question flow that can improve completion rates
  • Likely quick to set up and customize for a publication's branding

Where it falls short

  • No adaptive AI interview to probe why a reader gave a particular satisfaction rating
  • No indication of automated per-response quality scoring or auto-generated analysis reports
  • Static question set; follow-up depth depends entirely on how many questions are pre-written

Typeform

Reader Satisfaction Survey Template

Typeform's reader satisfaction template offers its signature one-question-at-a-time interface, which is friendly and easy for readers to complete. It's a fixed-question template, so any deeper exploration of a reader's reasoning would require manually building additional branching logic. Strong on polish and UX, lighter on built-in analytical depth.

What it does well

  • Polished, mobile-friendly one-question-at-a-time design known for high completion rates
  • Easy to customize visually to match a publication's brand
  • Simple logic-jump features for basic branching

Where it falls short

  • No AI-driven follow-up interview to dig into the reasoning behind satisfaction scores
  • No built-in per-response quality scoring or automated reporting on open-ended answers
  • Branching logic must be manually configured rather than adapting dynamically to each response

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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