Q01
Message
All templatesCustomer 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.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
13 questions · ~7 min
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 TemplateThis 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.
Related templates
More studies from the same category.
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 templateCustomer Experience
Customer Complaint Resolution Experience Survey
Captures what happened when a customer raised a complaint — how easy it was to submit, how the resolution process felt, and whether it was actually fixed. An AI follow-up interview digs into the specific moment satisfaction dropped (or rose), surfacing what a closed-ended score alone would miss. Built for support, CX, and quality teams reviewing complaint handling.
View templateCustomer 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 templateCustomer Experience
Customer Delight Moments & Drivers Survey
Measures how often and how strongly your product or service exceeds expectations, which specific drivers (speed, personalization, empathy, unexpected perks) matter most, and captures a real delight moment in the respondent's own words. The AI follow-up interview reconstructs what actually happened in that moment so you know what to replicate, not just that delight occurred.
View templateCustomer Experience
Post-Purchase Customer Review & Satisfaction Survey
Captures how customers rate their recent purchase or service experience, which specific aspects drove that rating, and whether they'd buy again — with an AI follow-up interview that digs into the real moment behind their score instead of a generic star rating.
View templateCustomer Experience
Help Desk & IT Support Experience Survey
Measures how easily customers or employees got their issue resolved through your help desk — first-contact resolution, effort, agent quality — for one specific support interaction. An AI follow-up interview reconstructs exactly what caused friction (or what went smoothly) so support leaders know what to fix, not just how people rated it.
View template