Customer Product & Service Review Collection Survey
Gathers star ratings, structured feedback on quality, service, and value, and a publishable written review from recent customers. An AI follow-up interview digs into the specific moment behind their score, turning vague ratings into quotable, credible reviews for your site, app store, or marketplace listings.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
How likely are you to recommend us to a friend or colleague?
Overall, how would you rate your experience with us?
Which parts of the experience did your feedback touch on? Select all that apply.
- Product quality
- Customer service
- Delivery or shipping
- Price or value for money
- Ease of ordering or setup
- Website or app experience
How much do you agree with each statement about your recent experience?
- The product/service met my expectations
- Customer service was helpful when I needed it
- It was fair value for the price
- The overall process was easy
Anchor on the rating and statements this respondent just gave and ask them to walk through one specific moment that shaped it — what happened, when, and what stood out. If the score was very high, probe what almost went wrong or what would make it even better; if it was low or mixed, probe exactly where things fell short and what resolution (if any) they experienced. Get concrete, quotable detail rather than general impressions.
In your own words, write a short review describing your experience. Feel free to mention specifics — what you used it for, what worked, what didn't.
May we publish your review (and star rating) publicly on our website, app store listing, or marketing materials?
If we publish your review, what name or nickname should we display? (Leave blank to show as 'Anonymous customer'.)
How long have you been a customer?
- Less than 1 month
- 1-6 months
- 6-12 months
- 1-3 years
- More than 3 years
Which age range do you fall into?
- Under 18
- 18-24
- 25-34
- 35-44
- 45-54
- 55-64
- 65+
- Prefer not to say
Thank you for sharing your experience! Your rating and any published review help future customers make confident decisions, and your detailed feedback goes straight to the team working on improvements.
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
- Pairs quantitative signals (star rating, recommend-likelihood scale, and a statement matrix) with an AI follow-up interview that asks the respondent to walk through the specific moment behind their score, turning a flat rating into a quotable story.
- Includes a built-in publishing workflow — consent to publish and a display-name field — so a review is fielding-ready for your website, app store, or marketplace listing without extra steps.
- Captures context (tenure as a customer, age range, which parts of the experience the feedback touches on) so published reviews can be filtered or segmented credibly.
- Closes the loop with on-brand chat messages thanking the customer and explaining how their feedback/review will be used, keeping the experience conversational rather than a cold form.
SurveyMonkey
Customer Review TemplateA ready-to-field static template for collecting customer reviews, backed by SurveyMonkey's broad distribution and reporting tools. It's a fixed question set aimed at general review collection rather than a system that adapts to each respondent's answers. Good for quick deployment but not built specifically around producing publishable, quote-ready testimonials.
What it does well
- Quick to deploy given SurveyMonkey's mature survey infrastructure and reach
- Backed by established analytics and reporting dashboards
- Likely simple to customize question wording for different business types
Where it falls short
- Static question flow with no adaptive AI follow-up to probe the reasoning behind a rating
- No transparent, inspectable prompt logic since there's no AI interview layer
- No built-in mechanism geared toward turning a score into a ready-to-publish quote or review
QuestionPro
Service Evaluation Survey Questions + Sample Questionnaire TemplateThis page reads more like a guide and sample question bank for service evaluation than a single fielding-ready template — it's oriented toward giving question ideas and structure rather than a packaged survey you launch as-is. Useful as a reference for what to ask about service quality, but requires assembly work before deployment. No mention of adaptive interviewing or review-publishing features.
What it does well
- Broad sample question library covering multiple service-evaluation angles
- Backed by QuestionPro's established survey platform and logic features
- Useful as a reference for question wording and structure
Where it falls short
- Presented as a sample questionnaire/guide rather than a ready-to-field template
- No adaptive AI follow-up interview to dig into the specific moment behind a score
- No built-in consent/publishing flow for turning responses into public reviews
SurveySparrow
Customer Service Feedback Survey TemplateA conversational-style feedback template that fits SurveySparrow's chat-like survey format, likely improving completion rates through its UI. The question flow is still fixed once designed, without true adaptive probing based on a respondent's specific answer. It's positioned as general service feedback rather than a review-publishing pipeline.
What it does well
- Conversational chat-style UI that can feel more engaging than a static form
- Fits within SurveySparrow's broader survey and feedback platform
- Likely mobile-friendly given the conversational format
Where it falls short
- No adaptive AI interview that follows up dynamically on a given rating or comment
- No transparent prompt-level methodology available to inspect
- No dedicated consent/display-name flow for turning feedback into a publishable review
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.