Q01
Message
All templates
Magazine Reader Engagement & Content Satisfaction Survey
Measures how readers actually consume a magazine — print or digital — how satisfied they are with specific sections, and which content types they'd trade off against each other. An AI follow-up interview digs into the real story behind each reader's satisfaction or recommendation score, surfacing the specific articles, sections, or frustrations that closed questions miss.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
13 questions · ~7 min
Q02
Multiple ChoiceRequired
How do you typically read this magazine?
- Print copy
- Digital edition or app
- Website articles
- Both print and digital
Q03
Multiple ChoiceRequired
Out of the last 3 issues, how many did you read all or most of?
- None
- One
- Two
- All three
Q04
MatrixRequired
How would you rate your satisfaction with each of these parts of the magazine?
5 rows × 5 columns
- Feature articles
- Columns and opinion pieces
- Photography and visual design
- Cover design
- Balance of advertising to editorial content
Columns: Poor · Fair · Good · Very good · Excellent
Q05
Best–Worst Trade-off (MaxDiff)Required
Which of these content types matter most to you when deciding whether to pick up or open an issue?
- Investigative or long-form features
- Celebrity or personality profiles
- How-to or practical guides
- Opinion and commentary
- Photography or visual essays
- Industry news and trends
- Reader letters or community content
- Product or service reviews
Pick best & worst per setBest:Matters most to meWorst:Matters least to me
Q06
Rating ScaleRequired
Overall, how satisfied are you with this magazine right now?
Range: 1 – 5
Min:Very dissatisfiedMax:Very satisfied
Q07
Opinion ScaleRequired
How likely are you to recommend this magazine to a friend or colleague?
Scale: 0 – 10
Min:Not at all likelyMax:Extremely likely
Q08
AI Interview
Reconstruct the specific reasoning behind the respondent's recommendation and satisfaction scores. Anchor on the actual issue, article, or section they're thinking of. If the score was low, probe what would need to change for them to recommend it; if high, probe what specifically made them an advocate. If they mentioned a content type as least valuable in the trade-off question, ask why it still runs in the magazine from their perspective.
Q09
Multiple Choice
Going forward, which format would you prefer to read this magazine in?
- Print only
- Digital only
- Both print and digital
- No preference
Q10
Multiple ChoiceRequired
How do you currently access this magazine?
- Paid subscriber
- Newsstand or single-copy buyer
- Free or complimentary reader
- Digital-only access
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
Multiple Choice
Which gender do you identify as?
- Woman
- Man
- Non-binary
- Prefer to self-describe
- Prefer not to say
Q13
Message
That's everything — thank you for sharing your honest feedback! Your answers will feed directly into editorial planning for upcoming issues.
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
- Includes an adaptive AI follow-up interview that digs into the specific reasoning behind each reader's satisfaction and recommendation scores, not just a static open-text box
- Combines quantitative measures (satisfaction matrix, MaxDiff content trade-offs, recommendation scale) with qualitative depth in one flow
- Captures format and access habits (print vs. digital, how often issues are read) alongside content satisfaction for a fuller consumption picture
- Auto-generates a report from responses, saving manual analysis of open-ended feedback
Jotform
Magazine Reader Survey Form TemplateA ready-to-use, customizable form template built on Jotform's drag-and-drop form builder. It's designed for quick deployment and easy branding/embedding but relies on standard closed-ended questions. No mention of adaptive follow-up questioning or automated response scoring.
What it does well
- Fielding-ready template with drag-and-drop customization
- Backed by Jotform's broad form-building ecosystem and integrations
- Easy to embed or share via link
Where it falls short
- Static question set with no adaptive AI probing into individual answers
- No published methodology or prompt transparency for how questions were designed
- No automated quality scoring of open-ended responses
Typeform
Magazine Reader Survey TemplateA polished, conversational-style survey template known for Typeform's signature one-question-at-a-time UX. It's fielding-ready and visually engaging, but the conversational feel is templated logic, not true AI-driven follow-up interviewing. No voice interview or guided task options are indicated.
What it does well
- Clean, one-question-at-a-time interface that boosts completion rates
- Fielding-ready with strong design customization
- Good brand recognition for engaging survey experiences
Where it falls short
- No adaptive AI follow-up interview — logic branches are pre-set, not generated from each response
- No voice AI interview or screen-share task capability
- No transparent prompt or automated scoring methodology published
SurveySparrow
Reader Satisfaction Survey TemplateA conversational, chat-style survey template aimed at reader satisfaction measurement, fielding-ready out of the box. It emphasizes a friendly conversational tone similar to a chat interface, but questioning still follows fixed paths rather than true adaptive interviewing. No automated per-response quality scoring is indicated.
What it does well
- Fielding-ready template with a conversational chat-style format
- Marketing-focused template positioning for reader/audience feedback
- Easy to customize within SurveySparrow's platform
Where it falls short
- No adaptive AI interview that digs deeper based on individual answers
- No voice AI interview or guided screen-share task option
- No automated report generation or per-response quality scoring described
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.