Q01
Message
All templatesMarketing & Growth
Newsletter Content & Engagement Feedback Survey
Measures how subscribers actually read and value your newsletter — open habits, section-by-section ratings, and content priorities — with an AI follow-up that digs into the specific reasons behind promoter or detractor scores instead of generic satisfaction talk. Built for newsletter editors, content marketers, and community teams refining a recurring send.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
12 questions · ~7 min
Q02
Multiple ChoiceRequired
In the last month, how often did you open our newsletter?
- Every issue
- Most issues
- About half
- Rarely
- I didn't open any
Q03
Opinion ScaleRequired
Overall, how satisfied are you with the content of our newsletter?
Scale: 1 – 5
Min:Very dissatisfiedMax:Very satisfied
Q04
Matrix
Rate the newsletter on each of the following:
5 rows × 5 columns
- Relevance of the content to you
- Length of each issue
- Sending frequency
- Design and readability
- Quality of subject lines
Columns: Poor · Fair · Good · Very good · Excellent
Q05
Multiple Choice
Which sections do you typically read? (Template note: replace with your actual newsletter sections before launching.)
- Top news roundup
- Product updates
- Customer spotlight
- Tips and how-tos
- Events calendar
- Editor's note
Q06
Best–Worst Trade-off (MaxDiff)
For each set, pick the content type you'd most like to see more of, and the one you'd most like to see less of. (Template note: swap in your own content categories.)
- Industry news and trends
- Behind-the-scenes company updates
- How-to guides and tutorials
- Customer success stories
- Data and research insights
- Curated links from around the web
- Events and webinar invites
Pick best & worst per setBest:Want more ofWorst:Want less of
Q07
Opinion ScaleRequired
How likely are you to recommend this newsletter to a colleague or friend?
Scale: 0 – 10
Min:Not at all likelyMax:Extremely likely
Q08
AI Interview
Probe the reasoning behind the respondent's recommendation score: if it was low, find the specific issue or moment that made the newsletter feel skippable or irrelevant; if it was high, identify which section or issue actually delivered value and why. Anchor follow-ups on any content-type or section they mentioned earlier, and if their answers were vague, ask them to recall the last specific issue they remember reading.
Q09
Long Text
What's one thing we could change about the newsletter to make it more valuable to you?
Q10
Multiple Choice
What sending frequency would work best for you?
- Daily
- A few times a week
- Weekly
- Every two weeks
- Monthly
- Less often
Q11
Multiple Choice
Which best describes your role?
- Individual contributor
- Manager
- Director or VP
- Executive or founder
- Student
- Prefer not to say
Q12
Message
Thank you for the feedback! We use responses like yours to shape upcoming issues and decide what to feature, cut, or change.
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
- Goes beyond a satisfaction score with an AI follow-up interview that automatically probes the specific reasons behind a promoter or detractor recommendation score, instead of stopping at the number
- Combines open-habit tracking (how often subscribers actually open the newsletter), section-by-section matrix ratings, and a MaxDiff exercise to prioritize content types respondents want more or less of
- Includes a long-text 'one thing to change' question plus role and frequency-preference questions, giving editors both qualitative depth and segmentation context in one flow
- Frames the whole survey with on-brand chat-style thank-you messages at open and close, so it reads like a conversation from the newsletter team rather than a generic form
Jotform
Newsletter Feedback Form TemplateA ready-to-use, customizable form builder template for collecting newsletter feedback, with Jotform's drag-and-drop editor and standard field types. It's built for quick deployment and integrates with Jotform's broader form ecosystem (payments, workflows, etc.) rather than being purpose-built for content analytics. No adaptive questioning is indicated on the page.
What it does well
- Easy to customize visually via Jotform's drag-and-drop builder
- Fits into Jotform's wider suite of integrations (notifications, storage, apps)
- Free to start using like most Jotform templates
Where it falls short
- Static question set with no adaptive AI follow-up to probe individual responses
- No mention of automated per-response quality scoring or auto-generated analysis reports
- No transparent prompt methodology since it isn't an AI-driven interview tool
SurveySparrow
Newsletter Feedback Survey TemplateA conversational-style survey template aimed at marketers gathering newsletter feedback, consistent with SurveySparrow's chat-like UI positioning. It's a fielding-ready template, but the page describes a fixed question flow rather than dynamic, response-driven interviewing. Good for basic satisfaction and readership tracking.
What it does well
- Conversational, chat-like survey format that can feel more engaging than a plain form
- Marketing-template focus tailored to newsletter/email use cases
- Likely supports basic branching logic typical of SurveySparrow's platform
Where it falls short
- No indication of AI-generated follow-up questions that adapt to why a subscriber gave a low or high score
- No automated quality scoring of individual responses
- No stated academic or research-grade reporting output beyond standard survey analytics
Typeform
Newsletter Feedback Survey TemplateA polished, conversational one-question-at-a-time template consistent with Typeform's design-forward reputation. It's ready to field and likely supports simple logic jumps, but it's a fixed template rather than a system that reasons about each respondent's actual answers. No voice interview or task-based options are mentioned.
What it does well
- Clean, on-brand one-question-at-a-time interface that tends to boost completion rates
- Simple to launch and share, consistent with Typeform's ease-of-use positioning
- Supports basic conditional logic between questions
Where it falls short
- No adaptive AI interviewer that digs deeper into a respondent's specific reasoning
- No voice-based interview option or guided screen-share tasks
- No published methodology for how responses are scored or synthesized into a report
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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