QuestionPunkQuestionPunk
Start free
All templates
Customer Experience

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.

Use this template

No sign-up to try · Unlimited responses on the free plan

Live preview
Podcast Guest Experience Feedback Survey

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.

Powered by QuestionPunk

Default theme. Colors and fonts are yours to change.

Sample questions

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

11 questions · ~7 min
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. Your responses are completely confidential and anonymized. About 4-5 minutes.

Q01
Opinion ScaleRequired

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

Scale: 1 – 5
Min:Very unclearMax:Very clear
Q02
Rating Scale

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

Range: 1 – 5
Min:Not helpfulMax:Extremely helpful
Q03
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
Q04
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
Q05
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
Q06
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
Q07
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
Q08
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.

Q09
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
Q10
Short Text

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

Q11
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
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

Frequently asked questions

What questions are in the “Podcast Guest Experience Feedback Survey” template?

The template includes 11 ready-to-use questions, starting with: “Before recording, how clear was the communication about the topic, format, and logistics?” · “How would you rate the prep materials you received (briefing doc, sample questions, guidelines)?” · “Thinking about the actual recording session, how would you rate each of the following?”. The full set is previewed above, and every question is editable.

How long does this survey take to complete?

Respondents typically finish the 11 questions in about 7 minutes.

Can I customize this template?

Yes — every question, answer option, and the ordering is editable before you launch. You can add or remove questions, or ask the AI editor to rework the survey around your research goal.

Is this template free to use?

Yes. Open it in the editor and start customizing right away — no account required to try it, and the free plan covers launching your survey.

Ready to launch?

Open this template in the editor. Every part is yours to change before the first respondent sees it.

Use this templateStart free

Related templates

More studies on similar topics.

See all
Customer Experience

Employee Job Support and Empowerment Survey

Measures whether employees have the tools, authority, training, and backing they need to do their jobs well and serve customers confidently. Built for CX and people leaders who want to trace weak customer experiences back to gaps in frontline support, with an AI follow-up that reconstructs a real moment where an employee felt blocked or empowered.

View template
Customer Experience

Podcast Listener Feedback & Retention Survey

Captures how listeners actually consume your podcast — ideal episode length, topic preferences, ad tolerance, and what would push them to subscribe or share it — with an AI follow-up that digs into the real reason behind their loyalty score instead of a generic satisfaction number.

View template
Customer Experience

Guest Experience & Satisfaction Feedback Survey

Captures how guests rate their visit across cleanliness, staff service, value, and amenities, plus their likelihood to recommend and return. An AI follow-up interview digs into the specific moment behind their score — what went right or wrong and why — so you get root causes, not just numbers.

View template
Customer Experience

Guest Blog Contributor Experience Survey

Measures how guest bloggers and outside contributors experienced your pitching, editorial, and publishing process — from response times to backlink fairness. Built for content marketing and editorial teams that manage a guest-posting program. The AI follow-up interview digs into the specific friction points behind low satisfaction or referral scores so you know exactly what to fix before your next contributor.

View template
Customer Experience

Event & Party Planning Guest Experience Survey

Captures how guests actually experienced an event — venue, food, entertainment, timing, and communication — plus where they'd reallocate next year's budget. An AI follow-up interview reconstructs the single moment that made or broke the experience, giving planners a concrete story behind the ratings, not just a score.

View template
Customer Experience

Post-Stay Hotel Guest Experience Survey

Captures how guests rated check-in, room quality, staff, and value after a recent stay, plus their likelihood to recommend and rebook. An AI follow-up interview digs into the real story behind their score — what made or broke the stay — so hotel teams get specifics, not just star ratings.

View template