Q01
Message
All templates
Product Search and Purchase Journey Survey
Explores how people discover, evaluate, and decide to buy products — where they search, what almost stops them at checkout, and how they weigh price against trust and convenience. An AI follow-up interview reconstructs a respondent's most recent purchase step by step to surface the real friction points behind the ratings.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
13 questions · ~7 min
Q02
Multiple ChoiceRequired
When you're looking for a new product to buy, where do you usually start your search?
- Search engine (e.g., Google)
- A specific retailer's website or app
- Social media
- Online marketplace (Replace with your own examples, e.g., Amazon)
- Asking friends or family
- Other
Q03
Best–Worst Trade-off (MaxDiff)Required
For each set, pick the factor that matters most and the one that matters least when deciding what to buy.
- Price
- Product reviews and ratings
- Brand reputation
- Shipping speed
- Return policy
- Product availability / in stock
- Recommendations from friends or family
- Detailed product information (specs, sizing, materials)
Pick best & worst per setBest:Matters mostWorst:Matters least
Q04
MatrixRequired
Thinking about your most recent product search and purchase, how much do you agree with each statement?
5 rows × 5 columns
- I could easily find the product I wanted.
- I trusted the information provided about the product.
- I compared several options before deciding.
- The checkout process felt secure.
- Shipping and return policies were clear.
Columns: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q05
Opinion ScaleRequired
Thinking about your most recent purchase, how easy was it to find exactly what you were looking for?
Scale: 1 – 7
Min:Very difficultMax:Very easy
Q06
Multiple ChoiceRequired
Before completing your most recent purchase, did you compare prices across more than one retailer or seller?
- Yes, I compared prices in multiple places
- No, I only looked in one place
- Not sure
Q07
Rating ScaleRequired
How would you rate the checkout process for your most recent purchase?
Range: 1 – 5
Min:PoorMax:Excellent
Q08
Multiple Choice
In the last 30 days, which of these, if any, almost stopped you from completing a purchase?
- Unexpected shipping costs
- Complicated checkout process
- Being required to create an account
- Limited payment options
- Not enough product information
- Slow website or app performance
- Found a better price elsewhere
Q09
AI Interview
Reconstruct the respondent's most recent product search and purchase step by step: what triggered the search, where they looked, and what nearly made them abandon it. If they rated checkout poorly, probe exactly what went wrong and whether it was ever resolved. If they said they didn't compare prices, ask what would have prompted them to. Anchor the conversation on their actual last purchase, not general habits.
Q10
Long Text
Is there anything about searching for or buying products online that you wish worked differently?
Q11
Multiple Choice
Which age range do you fall into?
- 18-24
- 25-34
- 35-44
- 45-54
- 55-64
- 65+
- Prefer not to say
Q12
Multiple Choice
What is your gender?
- Woman
- Man
- Non-binary
- Prefer to self-describe
- Prefer not to say
Q13
Message
That's everything — thank you! Your responses will be combined with others to help improve how products are presented, priced, and sold online.
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
- Includes an AI follow-up interview that reconstructs the respondent's most recent purchase step by step, surfacing the real friction points behind their ratings rather than stopping at a score
- Combines structured measurement (multiple-choice, best-worst trade-off, matrix, rating-scale, rating) with open-ended probing, so quantifiable comparison-shopping and checkout-abandonment data is paired with qualitative context
- Asks specifically what almost stopped respondents from completing a purchase in the last 30 days, then lets the AI interview dig into that moment in detail
- Automated per-response quality scoring and an auto-generated report mean the open-ended and interview data arrive already synthesized, not just as a pile of raw text
QuestionPro
Product Search and Purchase Survey TemplateThis is a directly comparable, ready-to-field template covering the same product search and purchase journey topic. It relies on standard closed-ended question types to capture behavior and satisfaction. There's no mechanism shown for adaptively reconstructing a specific recent purchase experience.
What it does well
- Purpose-built template on the exact same topic (product search and purchase behavior)
- Backed by an established survey platform with broad question-type support
- Likely offers quick deployment for standard market research needs
Where it falls short
- Static question set with no adaptive follow-up probing into individual responses
- No voice-based interview option for richer, spoken respondent detail
- No visible per-response quality scoring or automated synthesis of open-ended answers
SurveyMonkey
Market Research Product Survey QuestionsThis is a broader market research product survey template rather than one focused specifically on the search-to-checkout journey. It's built on SurveyMonkey's standard fixed-question format, useful for general product feedback but not tailored to reconstructing a specific purchase path. Good for quick fielding, less suited to deep friction-point analysis.
What it does well
- Well-known, easy-to-deploy survey platform with broad distribution options
- Template likely covers general product perception and market fit questions
- Simple setup for teams wanting fast, standard market research
Where it falls short
- Fixed-question format with no adaptive AI follow-up to probe individual purchase journeys
- No option for voice-based interviewing to capture nuance beyond text/rating answers
- No transparent, publishable methodology for how deeper questions are generated
SurveySparrow
Product Market Research Survey TemplateA general product market research template that overlaps with search-and-purchase topics but isn't specifically structured around reconstructing a recent checkout experience. It offers a conversational-style survey format, which helps engagement but stops short of true adaptive interviewing. Best suited for broad product perception data rather than granular journey mapping.
What it does well
- Conversational chat-style survey format that may improve completion rates
- Template covers general product market research, applicable to purchase-related questions
- Established platform with straightforward template deployment
Where it falls short
- No adaptive AI interview that follows up dynamically based on a respondent's specific answers
- No guided task or screen-share capability to observe actual search/checkout behavior
- No automated per-response quality scoring or auto-generated friction-point report
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.