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Industry-Specific

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.

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設問の例

テンプレートの内容をプレビューできます。すべての設問は公開前に自由に編集できます。

全13問・約7分
Q01
メッセージ

Hi! Thanks for reading — we'd love a few minutes of your time to understand what you think of the magazine. Your responses are completely confidential and anonymized. Honest answers help us plan future issues. This should take about 5 minutes.

Q02
選択式必須

How do you typically read this magazine?

  • Print copy
  • Digital edition or app
  • Website articles
  • Both print and digital
Q03
選択式必須

Out of the last 3 issues, how many did you read all or most of?

  • None
  • One
  • Two
  • All three
Q04
マトリクス必須

How would you rate your satisfaction with each of these parts of the magazine?

5行 × 5列
  • Feature articles
  • Columns and opinion pieces
  • Photography and visual design
  • Cover design
  • Balance of advertising to editorial content
列: Poor · Fair · Good · Very good · Excellent
Q05
ベスト・ワースト選択（MaxDiff）必須

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
各セットで最も良いもの・最も悪いものを選択最も良い:Matters most to me最も悪い:Matters least to me
Q06
評価スケール必須

Overall, how satisfied are you with this magazine right now?

範囲: 1 – 5
最小:Very dissatisfied最大:Very satisfied
Q07
オピニオンスケール必須

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

スケール: 0 – 10
最小:Not at all likely最大:Extremely likely
Q08
AIインタビュー

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
選択式

Going forward, which format would you prefer to read this magazine in?

  • Print only
  • Digital only
  • Both print and digital
  • No preference
Q10
選択式必須

How do you currently access this magazine?

  • Paid subscriber
  • Newsstand or single-copy buyer
  • Free or complimentary reader
  • Digital-only access
Q11
選択式

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
選択式

Which gender do you identify as?

  • Woman
  • Man
  • Non-binary
  • Prefer to self-describe
  • Prefer not to say
Q13
メッセージ

That's everything — thank you for sharing your honest feedback! Your answers will feed directly into editorial planning for upcoming issues.

含まれる機能

  • AIによる深掘り

    自由回答に合わせてAIが追加で質問し、固定のフォームでは拾えない具体的な内容を引き出します。

  • 注意確認設問

    急いだ回答や質の低い回答者を除外する仕組みを標準で備えています。

  • AIが作成する設問文

    文言、設問の順序、条件分岐をAIが調査の目的に合わせて作成します。

  • 自動レポート

    回答が集まると、テーマ、引用、わかりやすい要約が自動で作成されます。

他ツールとの比較

ほかのアンケートツールで最も近いテンプレートを調べました。それぞれの優れている点と、このテンプレートがさらに踏み込んでいる点をまとめています。

このテンプレートを選ぶ理由

  • 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 Template

A 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.

優れている点

  • 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

物足りない点

  • 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 Template

A 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.

優れている点

  • Clean, one-question-at-a-time interface that boosts completion rates
  • Fielding-ready with strong design customization
  • Good brand recognition for engaging survey experiences

物足りない点

  • 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 Template

A 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.

優れている点

  • Fielding-ready template with a conversational chat-style format
  • Marketing-focused template positioning for reader/audience feedback
  • Easy to customize within SurveySparrow's platform

物足りない点

  • 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

よくあるご質問

「Magazine Reader Engagement & Content Satisfaction Survey」テンプレートにはどのような設問が含まれていますか？

すぐに使える設問が13問含まれており、最初の設問は次のとおりです：「Hi! Thanks for reading — we'd love a few minutes of your time to understand what you think of the magazine. Your respons…」・「How do you typically read this magazine?」・「Out of the last 3 issues, how many did you read all or most of?」。すべての設問は上でプレビューでき、自由に編集できます。

このアンケートの回答にはどのくらい時間がかかりますか？

回答者は通常、13問を約7分で回答し終えます。

テンプレートは編集できますか？

はい。公開前であれば、すべての設問、選択肢、順序を編集できます。設問の追加や削除のほか、調査の目的に合わせた作り直しをAIエディターに依頼することもできます。

このテンプレートは無料で使えますか？

はい。エディターで開けば、すぐに編集を始められます。お試しにアカウントは不要で、無料プランでアンケートを公開できます。

公開の準備はできましたか？

このテンプレートをエディターで開いてみてください。最初の回答者が目にする前に、すべてを自由に変更できます。

このテンプレートを使う無料で始める

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