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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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Sample questions

A preview of what’s in the template. Every question is editable before you launch.

13 questions · ~7 min
Q01
Message

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. About 4-5 minutes.

Q02
Opinion ScaleRequired

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

Scale: 1 – 5
Min:Very unclearMax:Very clear
Q03
Rating Scale

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

Range: 1 – 5
Min:Not helpfulMax:Extremely helpful
Q04
MatrixRequired

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

4 rows × 5 columns
  • 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)
Columns: Poor · Fair · Good · Very Good · Excellent
Q05
Multiple ChoiceRequired

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
Opinion ScaleRequired

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

Scale: 1 – 5
Min:Very dissatisfiedMax:Very satisfied
Q07
Multiple Choice

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
Opinion ScaleRequired

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

Scale: 0 – 10
Min:Not at all likelyMax:Extremely likely
Q09
AI Interview

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
Multiple ChoiceRequired

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
Short Text

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

Q12
Multiple Choice

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
Message

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.

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

  • 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.

What it does well

  • 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

Where it falls short

  • 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

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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