모든 템플릿

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.

샘플 질문

템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.

질문 13개 · 약 7분
Q01
메시지

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. Your responses are completely confidential and anonymized. About 5 minutes, and we'll ask a couple of follow-up questions to understand your rating better.

Q02
의견 척도필수

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

척도: 15
최소:Very dissatisfied최대:Very satisfied
Q03
객관식필수

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
매트릭스필수

Please rate us on each of the following:

6개 행 × 5개 열
  • Accuracy of reporting
  • Depth of analysis
  • Timeliness of coverage
  • Writing quality and clarity
  • Relevance to your interests
  • 외 1개
: Poor · Fair · Good · Very good · Excellent
Q05
최선·최악 선택형(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
세트별 최선·최악 선택최선:Most valuable최악:Least valuable
Q06
의견 척도필수

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

척도: 010
최소:Not at all likely최대:Extremely likely
Q07
객관식

How do you most often access our content?

  • Website
  • Mobile app
  • Email newsletter
  • Social media
  • Print
Q08
객관식

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 인터뷰

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
장문형

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

Q11
객관식

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
단문형

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

Q13
메시지

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.

포함된 기능

  • AI 후속 질문

    정형화된 설문이 놓치는 세부 내용을, 주관식 답변에 맞춰 AI가 심층 질문으로 끌어냅니다.

  • 주의력 확인 장치

    성의 없는 답변과 저품질 응답자를 걸러내는 내장 안전장치입니다.

  • AI가 작성한 문안

    문구, 질문 순서, 분기 로직까지 AI가 연구 목표에 맞춰 작성합니다.

  • 자동 리포트

    응답이 모이면 주요 주제, 인용문, 이해하기 쉬운 요약이 자동으로 작성됩니다.

다른 서비스와 비교

다른 설문 도구의 가장 유사한 템플릿을 검토했습니다. 그 도구들이 잘하는 점과, 이 템플릿이 한발 더 나아가는 지점을 정리했습니다.

이 템플릿을 선택하는 이유

  • 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.

잘하는 점

  • 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

아쉬운 점

  • 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.

잘하는 점

  • 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

아쉬운 점

  • 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

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