Electronics Retailer Shopping Experience Survey
Evaluates how customers research, compare, and buy consumer electronics from your store — covering website usability, price perception, and trust in shipping/support — with an AI follow-up that reconstructs the real decision journey behind their most recent purchase. Built for e-commerce and electronics retail teams optimizing conversion and retention.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
What type of electronic product did you most recently purchase from us?
- Laptop or computer
- Smartphone or tablet
- TV or home theater
- Audio (headphones, speakers)
- Smart home device
- Gaming hardware
- Other
Where did you research this product before buying it here?
- Our website or app
- Search engines
- Manufacturer's website
- Review sites (e.g., CNET, RTINGS)
- Social media or influencer content
- In-store browsing at another retailer
- Friends or family recommendation
Thinking about your most recent purchase, how well did each part of the experience go?
- Finding the product you wanted
- Comparing specs or models
- Checkout process
- Shipping speed
- Product arrived as described
- +1 more
How likely are you to recommend this retailer to a friend shopping for electronics?
Thinking about (Replace with product category, e.g., 'wireless noise-cancelling headphones') from a retailer like ours, please answer honestly:
- At what price would you consider this product so cheap that you'd question its quality?
- At what price would you consider this product a bargain — a great buy for the money?
- At what price would you consider this product starting to feel expensive, though you'd still consider buying it?
- At what price would you consider this product too expensive to consider buying?
When choosing where to buy electronics online, which of these factors matter most to you, and which matter least?
- Lowest price
- Fast, free shipping
- Easy returns policy
- Detailed product specs and comparisons
- Customer reviews and ratings
- Live chat or phone support
- Wide selection of brands
- Loyalty or rewards program
Reconstruct the respondent's actual decision path for their most recent electronics purchase: what almost stopped them from buying (price, uncertainty about specs, shipping time, trust), what tipped them into completing checkout, and whether they compared us against another retailer along the way. If they rated shipping or support poorly in the earlier ratings, probe exactly what went wrong and what resolution they expected.
How likely are you to buy your next electronics purchase from us again?
- Definitely will
- Probably will
- Not sure
- Probably won't
- Definitely won't
Is there anything about researching, buying, or receiving electronics from us that we should fix first?
What is your age range?
- Under 25
- 25-34
- 35-44
- 45-54
- 55-64
- 65 or older
- Prefer not to say
How would you describe your gender?
- Woman
- Man
- Non-binary
- Prefer to self-describe
- Prefer not to say
That's everything — thank you! Your answers feed directly into a report on where we can smooth out the electronics shopping journey.
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.
Why this template
What this template is built to do — we found no directly comparable template from other survey tools to review.
What sets it apart
- Includes a matrix question covering website usability, price perception, and trust in shipping/support in one structured block
- Features an AI follow-up interview that reconstructs the respondent's actual decision path for their most recent electronics purchase, going beyond static rating questions
- Combines Van Westendorp price sensitivity and MaxDiff prioritization of purchase-decision factors, giving quantifiable pricing and trade-off data alongside qualitative journey reconstruction
- Ends with an automated report generation step, turning raw responses directly into a report on where the purchase journey breaks down or succeeds
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.