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.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
In the last 30 days, how many episodes have you listened to (fully or partially)?
- None
- 1-2 episodes
- 3-5 episodes
- 6-10 episodes
- More than 10 episodes
Thinking about a typical episode, what's your ideal length?
- Under 15 minutes
- 15-30 minutes
- 30-60 minutes
- 60-90 minutes
- Over 90 minutes
How do our current episodes feel to you in terms of length?
Which of these topics do you most want more of, and which do you want less of?
- True crime and investigations
- Business and entrepreneurship
- Comedy and pop culture
- News and current events
- Health, wellness and self-improvement
- Technology and science
- Storytelling and narrative journalism
How much do you agree with each statement about ads on podcasts?
- I skip through ads whenever I can
- Host-read ads feel more trustworthy than pre-produced ads
- I don't mind ads if they support content I like
- Too many ads in an episode would make me stop listening
Which ad format do you personally tolerate best?
- Skippable ads I can fast-forward through
- Live host-read ads
- Occasional standalone sponsor segments
- No ads at all, even if it costs more
- No strong preference
How likely are you to recommend this podcast to a friend or colleague?
Probe the reasoning behind the recommendation score the respondent just gave. If it's a 6 or below, find the specific moment or aspect (length, topic, ad load, host, pacing) that would need to change to raise the score, and connect it back to their earlier ad-tolerance and length answers if relevant. If it's a 9 or 10, uncover the one thing that most makes them an advocate and whether they've actually shared or recommended it, not just felt positive about it.
Rank these in order of what would most make you subscribe permanently or share this podcast with someone else.
- Shorter, more consistent episode lengths
- More episodes on topics I care about
- Fewer or shorter ad breaks
- A guest or host I already follow
- A recommendation from a friend or community
- Bonus content or an ad-free tier
Anything else that would make you listen more often or tell others about the show?
What's your age range?
- Under 18
- 18-24
- 25-34
- 35-44
- 45-54
- 55-64
- 65+
- Prefer not to say
How do you describe your gender?
- Woman
- Man
- Non-binary
- Prefer to self-describe
- Prefer not to say
That's everything — thank you! Your feedback will directly shape our episode length, topic mix, and ad strategy going forward.
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
- Includes a best-worst trade-off question that forces trade-off ranking of topics respondents want more/less of, not just a flat list
- Uses an AI follow-up interview step that adaptively probes the specific reason behind each respondent's recommendation score, instead of stopping at a number
- Combines a matrix on ad-attitude statements with a separate multiple-choice on preferred ad format, capturing both sentiment and format tolerance
- Ends with a ranking question that orders concrete incentives (length, content, guests, etc.) by what would actually drive a permanent subscribe or share
Jotform
Podcast Listener Survey Form TemplateA genuine, directly comparable podcast listener feedback template on a mainstream form-builder platform. It's a static, fieldable form rather than an interview experience, so all questions are fixed at design time with no dynamic branching based on a respondent's specific answers. Good for basic listener demographics and preferences, but not built to explore the 'why' behind any single score.
What it does well
- Simple drag-and-drop customization typical of Jotform's builder
- Free tier available and easy to embed or share via link
- Large template library and integrations (e.g., email, spreadsheets) for basic distribution and collection
Where it falls short
- No adaptive AI follow-up — every respondent sees the same fixed question set regardless of their answers
- No automated per-response quality scoring or AI-generated analysis of open-text answers
- No voice AI interview or guided screen-share task option; text/click responses only
Frequently asked questions
What questions are in the “Podcast Listener Feedback & Retention Survey” template?
The template includes 14 ready-to-use questions, starting with: “Thanks for being a listener! We'd love your honest take on episode length, topics, and ads so we can make the show bette…” · “In the last 30 days, how many episodes have you listened to (fully or partially)?” · “Thinking about a typical episode, what's your ideal length?”. The full set is previewed above, and every question is editable.
How long does this survey take to complete?
Respondents typically finish the 14 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.
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