Customer surveys
Customer surveys are short questions to customers about their experience (why they bought, what they couldn't find, how delivery went) that give a store what numbers don't show: reasons. Analytics shows where people stop, a survey helps you understand why.
In plain words
A funnel will tell you that 40% leave checkout at the delivery step. It won't tell you why. Ask those who bought and those who left. Sort the answers into a few groups and fix what is mentioned most often.
Types of surveys
When | Whom to ask | What we find out |
|---|---|---|
After purchase (thank-you page, email) | Buyers | Why they chose you, what almost stopped them |
After delivery | Buyers | Quality of delivery and product (CSAT) |
On the site at exit (a short pop-up) | Those who didn't buy | What they couldn't find, why they left |
Periodically | All buyers | Loyalty (NPS) |
Conversations with support | All inquiries | Recurring problems |
How to write questions
For surveys, it is worth following these rules:
- neutral, clear wording with no jargon and no hint at the answer (not "how much did you enjoy our wonderful service?");
- one question, one topic (split two-part questions);
- balanced scales with an equal number of positive and negative options, and answers that don't overlap;
- a "Prefer not to answer" option;
- ask about specific recent behavior, not about assumptions of what the person will do in the future;
- keep the survey short and ask only what you need for your decision;
- don't make every question mandatory (it increases the number of people who abandon the survey) and add an optional open question at the end.
Example (hypothetical): instead of "Are you satisfied with Nova Poshta's fast delivery?", ask "How do you rate the delivery? 1 — very bad … 5 — very good" and then "What would you change?".
What to do with the answers
- Sort the open answers into 5–8 groups (delivery, price, choice, trust, website and so on).
- Count how many times each group repeats.
- Check against the numbers: does the funnel or session recordings confirm the reason?
- Fix what is most frequent and most costly, not what was said the loudest. For choosing the order: How to choose what to improve first.
- Tell customers what has changed: it raises their willingness to answer next time.
Common mistakes
- Asking only the satisfied (buyers) and forgetting those who left. According to Baymard, a significant share of cart abandonment is browsing with no intent to buy (42%), so such answers are not always about a problem with the site (Baymard, 2025).
- A questionnaire that is too long.
- Hinting at the answer in the question.
- Collecting answers and doing nothing with them.
- Collecting personal data without need: see Personal data in Ukraine.
- Treating a few reviews as statistics.
FAQ
How often should you survey customers? Event-based (after purchase or delivery) and no more often than needed. One customer shouldn't receive a questionnaire after every order.
How many questions should a survey have? The minimum necessary; one to three for event-based surveys. There is no single number in authoritative sources.
Which is better: a survey or analytics? Together: analytics shows where, a survey shows why.
Do you need a reward for answering? There is no fresh comparative data; if you offer a discount, don't make it conditional on a positive rating.
Related terms
- NPS and CSAT
- Funnel analysis
- Session recordings and heatmaps
- Usability
- Target audience
- Social proof and reviews
Sources
- Baymard Institute, Cart Abandonment Rate Statistics (updated 22.09.2025) — baymard.com/lists/cart-abandonment-rate
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