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Podcast Guest Experience Feedback Survey

For podcast hosts and producers to learn how guests actually experienced booking, recording, and the finished episode. Covers pre-show communication, recording-day comfort, and post-production follow-through, with an AI follow-up interview that digs into the specific moments behind a guest's overall rating.

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샘플 질문

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

질문 13개 · 약 7분
Q01
메시지

Thanks so much for being a guest on the show! We'd love your honest feedback on the whole experience, from first outreach to the finished episode, so we can make it even better for future guests. Your responses are completely confidential and anonymized. About 4-5 minutes.

Q02
의견 척도필수

Before recording, how clear was the communication about the topic, format, and logistics?

척도: 1 – 5
최소:Very unclear최대:Very clear
Q03
평점 척도

How would you rate the prep materials you received (briefing doc, sample questions, guidelines)?

범위: 1 – 5
최소:Not helpful최대:Extremely helpful
Q04
매트릭스필수

Thinking about the actual recording session, how would you rate each of the following?

4개 행 × 5개 열
  • The host was well-prepared for the conversation
  • The technical setup (audio/video) was smooth
  • The pacing felt comfortable, not rushed
  • My time was respected (start time, length, wrap-up)
열: Poor · Fair · Good · Very Good · Excellent
Q05
객관식필수

During the conversation, did you feel you had enough opportunity to share the points you most wanted to make?

  • Yes, definitely
  • Somewhat
  • No, not really
Q06
의견 척도필수

How satisfied are you with the finished, published episode (edit quality, show notes, how you were represented)?

척도: 1 – 5
최소:Very dissatisfied최대:Very satisfied
Q07
객관식

How satisfied are you with how the episode was promoted (social posts, show notes, tagging or crediting you)?

  • Very satisfied
  • Somewhat satisfied
  • Neutral
  • Somewhat dissatisfied
  • Very dissatisfied
  • I'm not sure / haven't seen it yet
Q08
의견 척도필수

How likely are you to recommend appearing as a guest on this podcast to a colleague or peer?

척도: 0 – 10
최소:Not at all likely최대:Extremely likely
Q09
AI 인터뷰

Probe the reasoning behind the respondent's likelihood-to-recommend score, anchoring on specific moments from booking, the recording session, and the published episode rather than general impressions. If they gave a low score on host preparation, comfortable pacing, or promotion, ask exactly what happened and what would have fixed it. If the score is high, ask what one detail made the experience stand out enough to recommend it.

Q10
객관식필수

Would you be open to appearing as a guest on this podcast again in the future?

  • Yes, happily
  • Maybe, depends on the topic
  • No
Q11
단문형

Any specific suggestions for improving the guest experience, from outreach through publication?

Q12
객관식

Which best describes your role or background? (Optional, helps us understand feedback across different types of guests)

  • Founder / Executive
  • Author / Speaker
  • Subject-matter expert / Researcher
  • Marketer / Communications professional
  • Prefer not to say
Q13
메시지

Thank you for taking the time to share this! Your feedback goes directly into how we prep, host, and promote future guests on the show.

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

  • Purpose-built for the guest's actual journey with this show — covering pre-show communication clarity, prep materials, recording-day comfort, and post-production follow-through (promotion and finished episode quality) — not a generic intake or release form.
  • Includes an AI follow-up interview that digs into the specific reasoning behind a guest's likelihood-to-recommend score, so hosts learn the 'why' instead of just a number.
  • Uses a matrix question to capture nuanced ratings across multiple aspects of the recording session itself, plus a multiple-choice check on whether the guest felt they had enough room to make their points.
  • Closes with an open-ended suggestions question and an optional role/background question, giving producers concrete, attributable feedback for improving outreach through publication.

QuestionPro

Guest Evaluation Survey Template

This is a generic guest evaluation template rather than one built for podcast guests specifically, so it lacks language or structure around booking, recording-day experience, or episode promotion. It's a fielding-ready static form on an established survey platform, but would need significant manual editing to fit a podcast use case.

잘하는 점

  • Ready to deploy quickly on an established survey platform
  • Flexible enough to be adapted to various 'guest' contexts beyond podcasting
  • Likely includes standard distribution and reporting tools common to QuestionPro

아쉬운 점

  • No podcast-specific flow (pre-show comms, recording day, post-production follow-through)
  • Static question set with no adaptive AI follow-up probing into open-ended answers
  • No published methodology for how responses are scored or interpreted, and no automated per-response quality scoring

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