Q01
Message
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Shopper Lifestyle & Motivation Battery Survey
A psychographic battery that segments respondents by how they think and feel about shopping — browsing for fun vs. necessity, planning vs. impulse, price-driven vs. brand-loyal — paired with an AI follow-up that unpacks the story behind their most recent unplanned purchase. Built for retail, e-commerce, and CPG teams building shopper segments.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
12 questions · ~7 min
Q02
MatrixRequired
How much do you agree or disagree with each statement about your own shopping habits?
7 rows × 5 columns
- I enjoy browsing stores or websites even when I don't need anything
- I actively compare prices before making a purchase
- I stick with brands I already know and trust
- Shopping is one of the ways I unwind or relax
- I feel guilty or anxious after an unplanned purchase
- +2 more
Columns: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q03
Opinion ScaleRequired
Overall, where does shopping fall for you?
Scale: 0 – 10
Min:Purely a necessary choreMax:One of my favorite activities
Q04
Multiple ChoiceRequired
Which of these best describes where you do most of your shopping these days?
- In physical stores
- On retailer or brand websites
- Through online marketplaces (e.g., Amazon)
- Via social media or shoppable posts
- Roughly an even mix of these
Q05
Multiple ChoiceRequired
In the last 30 days, how many purchases did you make that you hadn't planned beforehand?
- None
- 1-2
- 3-5
- 6 or more
Q06
Best–Worst Trade-off (MaxDiff)Required
When deciding what to buy, thinking about your purchases generally, please tell us which of these matters most and which matters least to you.
- Low price
- Product quality
- Convenience or speed
- Brand reputation
- New or trendy products
- Recommendations from friends or influencers
- Sustainability or ethical practices
- Customer service experience
Pick best & worst per setBest:Matters mostWorst:Matters least
Q07
Point AllocationRequired
Thinking about a typical month, how do you split your shopping spend across these channels? Please distribute 100 points to reflect the share of your spending in each.
- Physical/in-store shopping
- Retailer or brand websites
- Online marketplaces
- Social media or shoppable content
- Mobile apps
Allocate 100 points
Q08
AI Interview
Probe the tension in this respondent's answers between how much they enjoy shopping (or find it a chore) and how often they buy on impulse. Ask them to walk through their most recent unplanned purchase — what triggered it, how they felt afterward, and whether it fits the pattern in their agree/disagree ratings. If they said shopping helps them relax, explore whether that clashes with any guilt they reported after impulse buys, and if they rated browsing-for-fun low, ask what actually gets them to shop when they don't strictly need something.
Q09
Multiple Choice
Which age range do you fall into?
- Under 18
- 18-24
- 25-34
- 35-44
- 45-54
- 55-64
- 65+
Q10
Multiple Choice
How do you describe your gender?
- Woman
- Man
- Non-binary
- Prefer to self-describe
Q11
Multiple Choice
Which range best reflects your total household income?
- Under $25,000
- $25,000-$49,999
- $50,000-$74,999
- $75,000-$99,999
- $100,000-$149,999
- $150,000 or more
Q12
Message
That wraps things up — thank you for sharing how you shop! Your responses will be combined with others to build shopper profiles that guide how we design stores, sites, and offers.
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 a matrix and max-diff battery to segment respondents on planning-vs-impulse, price-vs-brand, and browsing-for-fun-vs-necessity dimensions
- Pairs the psychographic battery with an AI follow-up interview that probes the tension between stated shopping attitudes and the story behind a respondent's most recent unplanned purchase
- Captures behavioral data (recent unplanned purchase frequency, spend split across categories via constant sum) alongside attitudinal scales, not just self-reported preferences
- Opens and closes with clear chat messages framing the study and closing out the respondent experience, plus standard demographic classification questions for segment cross-tabs
QuestionPro
Shopping Life Style Battery Survey TemplateThis is a directly comparable static template covering shopping lifestyle and psychographic attitudes, built on QuestionPro's established survey platform. It appears to be a fielding-ready questionnaire rather than a report-generating research tool, so it likely stops at data collection. QuestionPro is a broad-purpose survey platform, so this template is one of many rather than a specialized shopper-motivation instrument.
What it does well
- Established, mature survey platform with broad question-type support
- Template is purpose-built around shopping lifestyle attitudes, aligning topically with retail/CPG research needs
- Likely supports standard survey logic (skip/branching) common to QuestionPro's platform
Where it falls short
- No adaptive AI follow-up interview to probe the reasoning behind a respondent's answers — appears to be a fixed, static question set
- No indication of automated per-response quality scoring or an auto-generated narrative report
- No transparent, published prompt/methodology since there's no AI-driven questioning involved
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.