Post-Purchase Shopping Experience & CSAT Survey
Measures overall satisfaction, Net Promoter Score, and key experience drivers across the end-to-end shopping journey. Designed for retail and ecommerce teams seeking actionable insights on product, delivery, checkout, and support touchpoints.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
When did you place your most recent order with us?
- Within the last 7 days
- 8–14 days ago
- 15–30 days ago
- 31–60 days ago
- More than 60 days ago
Overall, how satisfied were you with your most recent shopping experience?
The following questions ask you to rate specific parts of your recent order. Please indicate your level of satisfaction with each.
Did you experience any problems with this order?
- Yes
- No
Did you contact customer support about this order?
- Yes
- No
Based on your responses in this survey, is there anything else you'd like to share about your recent shopping experience? We may ask a follow-up question or two to better understand your perspective.
What is your age range?
- 18–24
- 25–34
- 35–44
- 45–54
- 55–64
- 65+
- Prefer not to say
Thank you for taking the time to share your feedback. Your responses are confidential and will help us improve your future shopping experience.
How did you place that order?
- Website on desktop
- Website on mobile browser
- Mobile app
- Marketplace (e.g., Amazon)
- Social media shop
- In-store
- Phone
- Other (please specify)
How likely is it that you would recommend us to a friend or colleague?
How satisfied were you with the product selection and availability?
Which of the following issues did you experience? Select all that apply.
- Delivery delay
- Damaged or incorrect item
- Order canceled or out-of-stock after purchase
- Payment or checkout problem
- Promo code or pricing issue
- Website or app bug
- Customer service problem
- Other (please specify)
Which support channel did you use?
- Live chat
- Phone
- In-app support
- Social media
- Other (please specify)
What is your gender?
- Woman
- Man
- Non-binary
- Prefer to self-describe
- Prefer not to say
How likely are you to shop with us again?
How satisfied were you with the pricing and value for money?
How much did this issue affect your overall experience?
How satisfied were you with the customer support you received?
In which country or region do you currently reside?
- United States
- Canada
- United Kingdom
- Australia
- Western Europe
- Eastern Europe
- Latin America
- Asia-Pacific
- Middle East & Africa
- Other
- Prefer not to say
How satisfied were you with the ease of browsing and finding what you needed?
How satisfied were you with the checkout and payment process?
How satisfied were you with the delivery speed and reliability?
How satisfied were you with the quality of the item(s) you received?
How satisfied were you with order updates and communication (e.g., confirmation, tracking)?
Which of the following had the greatest influence on your overall satisfaction with this order?
- Product selection and availability
- Pricing and value
- Ease of browsing the website or app
- Checkout and payment process
- Delivery speed and reliability
- Item quality
- Order updates and communication
- Other (please specify)
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
- Covers the full post-purchase journey in one flow — product, pricing, browsing, checkout, delivery, and support satisfaction — rather than isolating a single metric.
- Combines CSAT, NPS, and repurchase intent with driver-level ratings (e.g., delivery speed, order communication) so teams can see both the score and the 'why' behind it.
- Includes branching problem-diagnosis questions (issue type, impact, support channel used) to pinpoint where experience breaks down, not just whether it did.
- Closes with an AI follow-up interview that asks respondents to expand on their ratings in their own words, turning flat scale answers into explained, actionable feedback — something a static form can't do.
QuestionPro
Demographic and Retail Shopping Survey TemplateThis is a demographic-and-shopping-habits template focused on who shoppers are and general purchasing behavior, rather than a dedicated post-purchase CSAT/NPS instrument. It's positioned as a ready-to-use template but leans more toward profiling than journey-stage satisfaction diagnostics. Useful for segmentation research, less so for pinpointing checkout, delivery, or support pain points.
What it does well
- Ready-to-field template with established survey-platform backing
- Likely captures useful demographic segmentation alongside shopping habits
- Familiar QuestionPro question library and reporting tools
Where it falls short
- Static question set with no adaptive follow-up probing on individual answers
- No indication of per-response quality scoring or transparent prompt methodology
- Not structured around specific post-purchase touchpoints (checkout, delivery, support) like a dedicated CSAT survey
SurveySparrow
Product Net Promoter Score (NPS) TemplateThis template is narrowly scoped to a single NPS question (plus likely a reason-for-score follow-up) for product feedback, not a full post-purchase experience audit. It's a solid, focused fielding-ready template for tracking loyalty over time, but it won't surface driver-level detail across checkout, delivery, or support. Teams using it would need separate instruments to diagnose where satisfaction is won or lost.
What it does well
- Simple, fielding-ready NPS template that's fast for respondents to complete
- Backed by SurveySparrow's chat-style survey format and dashboards
- Good for lightweight, recurring loyalty tracking
Where it falls short
- Single-metric focus (NPS) with no coverage of product, delivery, checkout, or support satisfaction drivers
- No adaptive AI interviewing to probe the reasons behind a given score
- No published methodology for how any follow-up text responses are scored or analyzed
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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