E-Commerce Last-Visit Session Diagnostic Survey
Maps the complete journey of a customer's most recent e-commerce session—from intent and actions to friction points and blockers—to diagnose conversion drop-off and prioritize UX improvements.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
Have you visited our online store in the past 14 days?
- Yes
- No
When was your most recent visit to our site?
- Within the last 24 hours
- 2–3 days ago
- 4–7 days ago
- 8–14 days ago
What did you try to do during that session? Select all that apply.
- Browse categories
- Search for a specific item
- Compare products
- Read reviews or Q&A
- Look for a deal or promo
- Add items to cart
- Complete a purchase
- Check order status
- Start a return or exchange
- Manage account or settings
- Contact support
- Other
Which parts, if any, took longer than you expected? Select all that apply.
- Finding a suitable product
- Comparing options
- Understanding pricing or fees
- Applying a promo or discount
- Signing in or resetting password
- Payment or verification
- Choosing delivery or pickup
- Site or app speed and reliability
- Nothing took longer than expected
Based on what you've shared, is there anything else about that session you'd like to tell us about? We may ask a follow-up question or two.
What is your age?
- Under 18
- 18–24
- 25–34
- 35–44
- 45–54
- 55–64
- 65+
- Prefer not to say
Thank you for your time — your feedback directly helps us improve your shopping experience.
Which device did you primarily use during that session?
- Mobile app
- Mobile web browser
- Desktop or laptop
- Tablet
- Other
Which of the following steps did you actually complete during that session? Select all that apply.
- Used search
- Used filters or sorting
- Read product details
- Read reviews or Q&A
- Added item(s) to cart
- Applied a promo code
- Chose delivery or pickup method
- Paid and confirmed an order
- Tracked an order
- Started a return or exchange
- Contacted support
- None of the above
How easy or difficult was it to find what you were looking for?
Where do you currently live?
- United States
- Canada
- United Kingdom
- Australia
- European Union
- Other
- Prefer not to say
Approximately how long was that session from start to finish?
- Less than 5 minutes
- 5–15 minutes
- 16–30 minutes
- 31–60 minutes
- More than 60 minutes
- Not sure
How easy or difficult was the checkout and payment process?
How do you describe your gender? Select all that apply.
- Woman
- Man
- Non-binary
- Another identity
- Prefer not to say
Overall, how easy or difficult was it to navigate the site or app during that session?
How successful was that session at achieving what you set out to do?
Did anything prevent you from finishing everything you wanted to do? Select all that apply.
- Couldn't find the right item
- Item was out of stock or unavailable
- Price was higher than expected
- Shipping cost or delivery time was unacceptable
- Payment or verification issue
- Promo code didn't work
- Account or sign-in issue
- Site or app crash or error
- Decided to come back later
- Nothing prevented me
- Other
If you compared products or made a purchase during that session, rank the following factors by how much they influenced your decision, from most to least important.
- Total price
- Delivery speed
- Product reviews and ratings
- Brand or seller
- Return policy
- Product details and photos
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.
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.
Experimentation Maturity & Data Trust Assessment
Measures A/B testing ease-of-use, guardrail adoption, result trust, and decision confidence among product and engineering teams. Use it to identify friction points, governance gaps, and training needs to scale experimentation.
View templateE-commerce Customer Journey Diary Study
A structured diary study instrument for capturing in-the-moment e-commerce experiences across touchpoints and tasks. Designed for repeated daily entries to identify pain points, emotional states, and task-completion barriers throughout the customer journey.
View templateE-Commerce Shopping Diary Study: 14-Day Behavioral Log
A structured 3-entry diary study for UX researchers to capture real online shopping journeys, friction points, and purchase decision drivers over a 14-day period.
View templateExperimentation & A/B Testing Maturity Assessment
Assesses experimentation program maturity across culture, process, tooling, governance, and outcomes. Designed for product, growth, and data teams to benchmark capabilities and identify improvement priorities.
View templateCompetitive Landscape & Switching Drivers Survey
Benchmarks how customers perceive your brand against named competitors — consideration, head-to-head ratings, and switching likelihood — then uses an AI follow-up interview to surface the real story behind a preference or switch. Built for product marketing, competitive intelligence, and strategy teams tracking share of consideration.
View templatePhoto Diary Study: Product Use in Context
A repeatable diary entry participants complete each time they use your product in real life: a photo of the moment, what they were trying to do, and what got in the way — with an AI probe on the day's friction. Run it daily or weekly to see usage where it actually happens, not in a lab.
View template