Survey questions that reveal fit doubts, style confidence, and the reason behind each purchase, with answer choices and the timing to ask them.
How confident are you that the size you ordered will fit?
Start with the complete working structure, then adjust the language, timing, and incentive to fit your customers and brand.
Best used when
Your team has a specific decision or growth objective and needs a focused artifact to move from planning to launch.
How confident are you that the size you ordered will fit?
single choiceSuggested answers
Why ask it: Flags likely returns while the order is still packable. Route the two doubtful answers to support for a proactive size check, and track the ordered-two-sizes share by product line.
Where did you first come across us?
single choiceSuggested answers
Why ask it: Last-click analytics undercounts feed and word-of-mouth discovery, which is where apparel demand actually starts. The answer mix here is the honest version of your channel report.
What nearly stopped you placing this order?
open textWhy ask it: Surfaces the biggest conversion blocker in the customer's own words. For apparel it is usually sizing doubt, shipping cost, or a missing size, and each one has a different fix.
How do you plan to wear it?
single choiceSuggested answers
Why ask it: Separates wardrobe-builders from occasion shoppers and gift buyers, which changes what your post-purchase emails should recommend next.
How well did your order fit?
ratingWhy ask it: Asked by email after delivery, this becomes a fit score per product line. A line that lags the store average has a size-guide problem worth fixing before the next production run.
What should we stock more of?
multiple choiceSuggested answers
Why ask it: A standing demand signal for the next buying meeting, answered by people who already paid full price for your clothes.
Anything else you would tell the team?
open textWhy ask it: The catch-all reliably surfaces what no fixed option anticipated, from packaging to petite sizing. Review it weekly; AI summaries keep it readable at volume.
Generate a focused variation while keeping the expert-written version available as your baseline.
Add your goal and audience. If AI is unavailable, the complete template on this page still works as a practical starting point.
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Three specifics worth checking against your own store before you launch.
Start with the focused version, publish, and let the first answers steer the next iteration.
Launch the checkout questions first: fit confidence, discovery, and the order blocker
Add the post-delivery fit rating by email once your fulfilment timing is set
Review answers by product line monthly and fix the worst fit offender before the next drop
Strong execution usually comes from removing ambiguity and keeping every action tied to the original objective.
Asking ten questions when three earn answers
Skipping the ordered-two-sizes option, which is how fit doubt actually behaves
Reading results as one store instead of per product line
Leaving 'it did not fit' unexplored: ask which way it missed
Three at checkout, then one or two by email after delivery. Completion drops with every added question, and the three checkout questions here cover the decisions that move margin: fit, channel, and blocker.
Both, with different questions. Confidence at checkout predicts returns while you can still act. A fit rating after delivery measures reality per product line, and the gap between the two is your size-guide to-do list.
Yes. Copy them into any tool; the template is free. Surveys adds the Shopify layer: answers tied to orders, segments by product line and order value, and AI summaries of open text.
Collect useful customer insight with Surveys and grow your audience with Contests.
