Q01
Message
All templatesMarket Research
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.
14 questions · ~7 min
Q02
Multiple ChoiceRequired
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
Q03
Multiple ChoiceRequired
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
Q04
Opinion ScaleRequired
How do our current episodes feel to you in terms of length?
Scale: 1 – 7
Min:Way too shortMax:Way too long
Q05
Best–Worst Trade-off (MaxDiff)Required
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
Pick best & worst per setBest:Most interested inWorst:Least interested in
Q06
MatrixRequired
How much do you agree with each statement about ads on podcasts?
4 rows × 5 columns
- 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
Columns: Strongly disagree · Somewhat disagree · Neutral · Somewhat agree · Strongly agree
Q07
Multiple Choice
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
Q08
Opinion ScaleRequired
How likely are you to recommend this podcast to a friend or colleague?
Scale: 0 – 10
Min:Not at all likelyMax:Extremely likely
Q09
AI Interview
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.
Q10
RankingRequired
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
Drag to rank
Q11
Long Text
Anything else that would make you listen more often or tell others about the show?
Q12
Multiple Choice
What's your age range?
- Under 18
- 18-24
- 25-34
- 35-44
- 45-54
- 55-64
- 65+
- Prefer not to say
Q13
Multiple Choice
How do you describe your gender?
- Woman
- Man
- Non-binary
- Prefer to self-describe
- Prefer not to say
Q14
Message
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
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.
Market Research
Celebrity & Influencer Endorsement Effectiveness Survey
Measures whether a celebrity or influencer endorsement actually transfers credibility to a brand — covering perceived authenticity, trustworthiness, and purchase influence — with an AI follow-up that unpacks why the pairing does or doesn't feel believable to this specific respondent. Built for brand, marketing, and partnerships teams testing a specific spokesperson or creator campaign.
View templateMarket Research
Competitive Perception vs Named Competitors Survey
Benchmarks how customers and prospects rate you against specific named competitors on the criteria that actually drive their choice — combining a max-diff prioritization, a head-to-head perception battery, and an AI follow-up that digs into the exact moment a competitor won or nearly won the deal.
View templateMarket Research
Logo and Visual Identity Perception Survey
Tests how a set of logo or visual identity options perform on recognition, brand fit, emotional tone, and head-to-head preference. Built for brand and marketing teams comparing logo candidates or evaluating a redesign, with an AI follow-up that digs into the specific visual cues driving the winning choice instead of just recording a rank.
View templateMarket Research
Path to Purchase: Discovery, Research & Decision Triggers
Reconstructs the full journey behind a considered purchase — how customers first discovered the product, which sources shaped their decision, what nearly stopped them, and how confident they feel now. An AI follow-up rebuilds the actual sequence of events around the moment of hesitation, not just the tidy summary customers give afterward.
View templateMarket Research
Price Increase Reaction & Churn Risk Study
Measures how customers react to an upcoming or recent price increase — their acceptance thresholds, likelihood to churn, need to re-justify the value, and preferences for how the change is communicated. An AI follow-up digs into the specific reasoning behind each customer's churn risk score, surfacing what would actually change their mind versus what they say in the closed-ended scales.
View templateMarket Research
Win-Loss Interview (AI Voice Debrief)
A voice AI debrief for closed deals — won or lost. Buyers tell an AI interviewer things they'd never tell the salesperson: the real decision criteria, who else was in the running, where the pitch missed, and what nearly changed the outcome. Structured questions make results comparable across deals.
View template