Q01
Message
All templatesIndustry-Specific
Outdoor Gear Website Shopping Experience Survey
Measures how well an outdoor gear or apparel website helps visitors find, evaluate, and buy products — from product findability to sizing confidence and trust in performance claims. Built for e-commerce, UX, and merchandising teams in the outdoor industry. The AI follow-up interview reconstructs what a specific shopper actually did on the site, going beyond checkboxes to what convinced or stopped them from buying.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
14 questions · ~7 min
Q02
Multiple ChoiceRequired
What brought you to (Replace with your brand name)'s website today?
- Researching gear before buying
- Comparing prices or options
- Ready to purchase a specific item
- Checking an order or account
- Just browsing / window shopping
- Other
Q03
Multiple ChoiceRequired
Which category best describes what you were shopping for?
- Hiking / backpacking gear
- Camping equipment
- Outdoor apparel or footwear
- Climbing / mountaineering gear
- Water sports gear (kayak, paddleboard, etc.)
- Winter sports gear (ski / snowboard)
- Other
Q04
Opinion ScaleRequired
How easy was it to find the specific product you were looking for?
Scale: 1 – 7
Min:Very difficultMax:Very easy
Q05
MatrixRequired
Rate the following parts of the website based on today's visit.
6 rows × 5 columns
- Product descriptions & specs
- Sizing & fit guidance
- Photos/videos of gear in real outdoor use
- Customer reviews from other outdoor enthusiasts
- Shipping & return policy clarity
- +1 more
Columns: Poor · Fair · Good · Very good · Excellent
Q06
Multiple ChoiceRequired
Which best describes what happened during this visit?
- I completed a purchase
- I added item(s) to my cart but didn't check out
- I'm still researching / comparing options
- I left without adding anything to my cart
Q07
Multiple Choice
If you didn't complete your purchase, what was the biggest reason? (Skip if you checked out.)
- Price was higher than expected
- Unsure about sizing or fit
- Not enough info about durability/performance for my activity
- Shipping cost or delivery time
- Wanted to compare with other retailers
- Item was out of stock
- Other
Q08
AI Interview
Reconstruct the respondent's actual decision journey for the specific product they had in mind on this visit: what convinced them to buy it, or what almost convinced them and then stopped them. If they mentioned sizing/fit uncertainty or skepticism about performance claims, probe exactly what information or proof would have resolved that doubt, and whether they trusted the reviews or photos shown. If they said they completed a purchase, ask what single piece of content or detail on the page was most decisive.
Q09
Best–Worst Trade-off (MaxDiff)
Which of these website improvements would most improve your shopping experience?
- Faster page load / site speed
- Clearer sizing & fit charts
- More real-use photos and videos
- More detailed technical specs (weight, materials, durability)
- More reviews from people doing similar activities
- Live chat with a gear expert
- Simpler, faster checkout
- Better filtering by activity, weather, or skill level
Pick best & worst per setBest:Would improve my experience the mostWorst:Would improve it the least
Q10
Rating ScaleRequired
How likely are you to recommend this website to another outdoor enthusiast?
Range: 1 – 5
Min:Not at all likelyMax:Extremely likely
Q11
Multiple Choice
How often do you participate in outdoor activities like hiking, camping, or climbing?
- Several times a week
- Weekly
- A few times a month
- A few times a year
- Rarely / never
- Prefer not to say
Q12
Multiple Choice
How would you describe your outdoor experience level?
- Beginner
- Intermediate
- Advanced
- Expert / professional
- Prefer not to say
Q13
Multiple Choice
What is your age range?
- Under 18
- 18-24
- 25-34
- 35-44
- 45-54
- 55-64
- 65+
- Prefer not to say
Q14
Message
That's everything — thank you for the feedback! Your answers go directly into a report our team uses to improve product pages, sizing guidance, and checkout for outdoor shoppers like you.
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.
How it compares
We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.
Why this template
- Goes beyond satisfaction ratings with an AI follow-up interview that reconstructs the specific shopper's actual decision journey — what they clicked, compared, and what nearly stopped them from buying.
- Includes a matrix rating of specific website parts (navigation, sizing info, product detail, etc.) alongside a max-diff exercise that ranks which improvements would most move the needle.
- Captures purchase outcome and abandonment reason directly, then lets the AI probe deeper on that specific reason rather than leaving it as a single checkbox.
- Segments by outdoor activity frequency and experience level, so findability and trust issues can be analyzed by shopper sophistication, not just averaged across all visitors.
QuestionPro
Online store survey questions + sample questionnaire templateA genuinely comparable online store/e-commerce survey template with sample questions covering site experience and purchasing. It's a static questionnaire built for broad online store use rather than one tailored specifically to outdoor gear/apparel shopping nuances like sizing confidence or performance-claim trust. Presented more as a sample question bank than a single ready-to-field flow.
What it does well
- Established survey platform with broad template library and questionnaire design experience
- Covers general online store shopping experience topics
- Likely offers standard question-bank flexibility for customization
Where it falls short
- No adaptive AI follow-up — respondents answer fixed questions with no probing into what actually happened during their visit
- Not built specifically for outdoor gear/apparel nuances like sizing confidence or trust in performance claims
- No automated per-response quality scoring or auto-generated report tying answers to a coherent shopper journey
Typeform
Ask your website visitors how good their experience wasA general website UX survey template, well-suited to conversational-style form design but not specific to e-commerce or outdoor retail shopping journeys. It measures general website experience rather than product findability, sizing confidence, or purchase completion — the specific concerns of gear/apparel merchandising teams. A solid generic starting point that would need heavy customization for this use case.
What it does well
- Polished, conversational form-filling experience that keeps completion rates high
- Easy to customize branding and question flow within Typeform's builder
- Good general-purpose website feedback template
Where it falls short
- Generic website UX focus, not tailored to shopping-specific concerns like sizing, product findability, or purchase abandonment reasons
- No adaptive AI interview to reconstruct what a visitor actually did or why they didn't buy
- No transparent prompt methodology or automated report connecting responses to a shopper decision journey
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.
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