Online Shopping Attitudes Survey Template
Understand what draws people to online shopping—and what makes them hesitate. These seven questions explore recent shopping goals, convenience, enjoyment and the information people need before buying.
Understand what draws people to online shopping—and what makes them hesitate. These seven questions explore recent shopping goals, convenience, enjoyment and the information people need before buying.
Use feedback for a specific decision
Someone may enjoy browsing online but still want to see a product in person before buying it. Another shopper may value speed more than discovery. This SurveyLegend example helps retail researchers separate those attitudes instead of treating every online visit as an unfinished purchase.
Understand shopping motives before choosing a change
Use this survey to explore attitudes within one product category, such as clothing or home furnishings. It is not a checkout diagnostic or a satisfaction survey for a single order. SurveyLegend’s consumer survey examples show how broader trend questions can support a research plan; their dated findings are not current benchmarks.
Childers and colleagues (2001) begin their abstract: “Motivations to engage in retail shopping include both utilitarian and hedonic dimensions.” In plain language, practical value and enjoyment can both matter. Their online shopping research informs the separate convenience and enjoyment questions here. It does not establish today’s market shares or validate this original questionnaire.
Seven questions to adapt
Think about browsing or buying products online in the product category named by the organizer during the past 30 days. Every question is optional. Please do not provide retailer account details, payment information or order numbers.
A little feedback. A clearer picture.
Explore this 7-question example at your own pace. Every question is optional.
Online Shopping Attitudes Survey
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Customize your online shopping attitudes survey
Name one product category and define online shopping as browsing as well as buying. Do not invite only purchasers if the decision concerns people who are still comparing options. Keep the past-30-day window consistent across the invitation and questions.
Use neutral product-category wording without advertising a sale or promoting a particular retailer. If a later research task concerns product visuals, SurveyLegend’s image questions article offers a separate design example. Do not add attractive product images to this attitudes survey unless their influence is part of the study you intend to run.
Printable online shopping attitudes questionnaire
Use the blank paper questionnaire in a moderated research session with adults who have recently browsed the named category online. State where to return it and how responses will be reviewed. Paper answers need separate review or manual entry; they do not automatically appear in online results.
Create your online shopping attitudes survey in SurveyLegend
Copy this prompt into an AI assistant to draft the questions. Review the draft, then build and customize the survey in SurveyLegend before sharing.
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Interpret responses before acting
Compare the main shopping goal with convenience and enjoyment separately. Browsing for ideas can be successful even without a purchase. A respondent who reports high convenience but difficulty judging products may need better product information rather than a faster checkout.
Keep “I cannot judge” out of the positive/negative rating counts, and show the number answering each item. Question 5 records the biggest hesitation only; it does not measure the prevalence of every concern. Treat the most helpful information choice as a follow-up hypothesis, not proof that adding it will increase sales. Check comments for category-specific needs and test a change with a suitable separate method before making causal claims.
Frequently asked questions
Should only recent buyers receive this survey?
No. Include people who browsed in the named category without buying if their attitudes matter to the decision. Buying is not required for a useful answer about browsing.
Does this measure checkout abandonment?
No. It asks about shopping attitudes within a category. Diagnosing abandonment requires a defined checkout journey and relevant behavioral evidence.
Can the results predict sales growth?
Not by themselves. Stated attitudes and preferred information can identify questions to investigate, but they do not establish purchase behavior or the effect of a website change.
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