Q01
Message
All templatesCustomer 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.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
12 questions · ~7 min
Q02
Opinion ScaleRequired
How likely are you to recommend us to a friend or colleague?
Scale: 0 – 10
Min:Not at all likelyMax:Extremely likely
Q03
Rating ScaleRequired
Overall, how satisfied were you with your recent purchase or experience with us?
Range: 1 – 5
Min:Very dissatisfiedMax:Very satisfied
Q04
MatrixRequired
Please rate each part of your experience.
5 rows × 5 columns
- Product or service quality
- Value for the price
- Customer service or support
- Ease of purchase or ordering
- Delivery or fulfillment speed
Columns: Poor · Fair · Good · Very good · Excellent
Q05
Multiple Choice
Which parts of your experience stood out most, positively or negatively?
- Product/service quality
- Price or value
- Speed of delivery or service
- Staff or support interaction
- Website or app experience
- Packaging or presentation
- Communication and updates
Q06
Multiple ChoiceRequired
How likely are you to purchase from us again?
- Definitely will
- Probably will
- Not sure
- Probably won't
- Definitely won't
Q07
AI Interview
Probe the real story behind the respondent's recommendation and satisfaction scores. If the score was high, anchor on the single moment or detail that made the experience stand out and ask if it's consistent every time. If the score was low or middling, get specific about what went wrong, when in the journey it happened, and what would have changed the outcome. If they flagged a specific standout aspect above (quality, service, delivery, etc.), ask them to walk through that exact moment.
Q08
Long Text
Is there anything else you'd like us to know, or any suggestion for how we could improve?
Q09
Multiple Choice
How did you first hear about us?
- Search engine
- Social media
- Friend or family referral
- Advertisement
- Existing customer
- Other
Q10
Multiple Choice
What is your age range?
- Under 18
- 18-24
- 25-34
- 35-44
- 45-54
- 55-64
- 65+
- Prefer not to say
Q11
Multiple Choice
How do you describe your gender?
- Woman
- Man
- Non-binary
- Prefer to self-describe
- Prefer not to say
Q12
Message
That's everything — thank you for sharing your honest feedback! We use responses like yours to fix what's not working and keep doing more of what is.
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 single star rating with a rating question, a recommendation (NPS-style) score, and a matrix breakdown of specific experience aspects, so you know both the score and what drove it
- Includes an AI follow-up interview that probes the real story behind each respondent's recommendation and satisfaction score, instead of leaving low or high scores unexplained
- Pairs quantitative signals (multiple-choice on standout aspects, repurchase likelihood, acquisition source) with an open-ended long-text question for suggestions, giving both structured and qualitative data
- Uses friendly chat-style opening and closing messages to set expectations and thank respondents, keeping the ~3-4 minute survey feeling conversational rather than clinical
Jotform
Customer Review Form TemplateA static, form-builder-based customer review template typical of Jotform's drag-and-drop editor. It's ready to field quickly and is easy to customize with logic and widgets, but it relies on fixed questions rather than any adaptive follow-up. Good for simple review collection, not for probing the reasoning behind a score.
What it does well
- Fast to deploy and customize with Jotform's drag-and-drop form builder
- Likely supports common field types (ratings, text, choice) and basic conditional logic
- Familiar, widely-used platform for simple review collection
Where it falls short
- No adaptive AI follow-up interview to explore the story behind a rating — just static fields
- No voice AI interview option or guided screen-share tasks
- No automated per-response quality scoring or transparent AI prompt methodology
SurveyMonkey
Customer Review TemplateSurveyMonkey's template offers a professionally worded, survey-methodology-backed set of static questions for collecting customer reviews. It benefits from SurveyMonkey's reporting and benchmarking tools, but the question set itself is fixed and does not adapt to individual responses. It's a solid generic starting point rather than a dynamic interview.
What it does well
- Backed by SurveyMonkey's survey methodology expertise and question design
- Built-in analytics and reporting dashboards for aggregate results
- Easy to launch and share across common distribution channels
Where it falls short
- Static question flow with no adaptive AI probing into individual responses
- No voice AI interview or guided task/screen-share capability
- No transparent, per-response AI prompt or automated quality scoring
SurveySparrow
Customer Review Form Template | For requesting customer reviewsSurveySparrow's template is framed around requesting reviews, with a conversational, chat-like form style similar in feel to QuestionPunk's chat messages. However, its conversational flow is still pre-scripted rather than AI-driven, and it's aimed more at collecting/requesting reviews than deeply interviewing respondents about their experience.
What it does well
- Conversational, chat-style form format that feels more personal than a typical grid form
- Purpose-built for review requests, which may integrate well with review-generation workflows
- Mobile-friendly presentation typical of SurveySparrow's product
Where it falls short
- Conversational UI is scripted, not adaptive — no AI follow-up that digs into the reasoning behind a score
- No voice AI interview or guided screen-share task option
- No automated quality scoring or published AI prompt transparency
Typeform
Customer Review FormTypeform's template offers its signature one-question-at-a-time, visually polished interface, which makes for a pleasant respondent experience. Like the others, though, it's a fixed sequence of questions with branching logic at most, not a true adaptive interview that generates novel follow-up questions per respondent.
What it does well
- Polished, one-question-at-a-time interface known for high completion rates
- Supports conditional branching logic for some personalization
- Strong visual design and template customization options
Where it falls short
- No AI-generated follow-up questions — branching logic is pre-set, not dynamically adaptive
- No voice AI interview or guided screen-share task functionality
- No automated per-response quality scoring or transparent prompt methodology
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
Customer Engagement Pulse & Drivers Survey
Tracks how often and through which channels customers actively engage with your brand, what's pulling them in or pushing them away, and which levers would deepen engagement — with an AI follow-up that digs into the real reasons behind a customer's current engagement level.
View templateCustomer Experience
Guest Experience & Satisfaction Feedback Survey
Captures how guests rate their visit across cleanliness, staff service, value, and amenities, plus their likelihood to recommend and return. An AI follow-up interview digs into the specific moment behind their score — what went right or wrong and why — so you get root causes, not just numbers.
View templateCustomer Experience
Customer Success Story & Case Study Discovery Survey
Surfaces customers whose results are strong enough to feature in a case study — capturing the before/after problem, quantifiable impact, and a quotable moment. The AI follow-up interview reconstructs the full narrative arc so marketing and customer success teams can identify and write up the best stories.
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 templateCustomer Experience
Technical Support Interaction Quality Survey
Measures how well a recent technical support interaction resolved the customer's issue, how much effort it took, and how the agent performed — built for support and CX teams tracking ticket quality beyond a single CSAT number. An AI follow-up interview reconstructs what actually happened on the ticket instead of just the rating given.
View templateCustomer Experience
Web Customer Service Experience Evaluation
Evaluates a recent online support interaction — channel used, resolution, effort, and satisfaction — for teams running live chat, email, or chatbot support. An AI follow-up interview digs into what actually happened during the contact so low scores come with a specific, fixable story instead of just a number.
View template